Computes transformed variables from Canonical Correlation Analysis using a dataframe or a stars object
canonical_correlation.RdComputes Canonical Correlation Analysis (CCA) using 2 datasets. The autoplot function plots the output.
Usage
canonical_correlation(x1, x2, ...)
# S3 method for data.frame
canonical_correlation(x1, x2, ...)
# S3 method for stars
canonical_correlation(x1, x2, ...)
# S3 method for cancor
autoplot(object, xlab = "Time", ...)Arguments
- x1
The first dataframe or stars object.
- x2
The second dataframe or stars objext. The dimensions of both datasets need to be the same.
- ...
Other arguments currently ignored.
- object
For autoplot: the output of the function `cannonical_correlation'.
- xlab
For autoplot: the xlabel to appear on CCA plot.
Examples
# Dataframe example
df1 <- SSTdatashort[1:100, ]
df2 <- SSTdatashort[401:500, ]
ccor <- canonical_correlation(df1, df2)
#> Rows less than columns. Using the transpose to perform CCA
autoplot(ccor)
# stars example
library(stars)
tif = system.file("tif/olinda_dem_utm25s.tif", package = "stars")
x <- read_stars(tif)
x1 <- x[[1]][1:50, 1:50]
x2 <- x[[1]][51:100, 1:50]
stx1 <- st_as_stars(x1)
stx2 <- st_as_stars(x2)
canonical_correlation(stx1, stx2)
#> $cancor_df
#> t ts Variable
#> 1 1 -0.0006929589 CCA1-df1
#> 2 2 -0.0020788768 CCA1-df1
#> 3 3 -0.0034647946 CCA1-df1
#> 4 4 -0.0048507125 CCA1-df1
#> 5 5 -0.0062366304 CCA1-df1
#> 6 6 -0.0076225482 CCA1-df1
#> 7 7 -0.0090084661 CCA1-df1
#> 8 8 -0.0103943839 CCA1-df1
#> 9 9 -0.0117803018 CCA1-df1
#> 10 10 -0.0131662196 CCA1-df1
#> 11 11 -0.0145521375 CCA1-df1
#> 12 12 -0.0159380554 CCA1-df1
#> 13 13 -0.0173239732 CCA1-df1
#> 14 14 -0.0187098911 CCA1-df1
#> 15 15 -0.0200958089 CCA1-df1
#> 16 16 -0.0214817268 CCA1-df1
#> 17 17 -0.0228676446 CCA1-df1
#> 18 18 -0.0242535625 CCA1-df1
#> 19 19 -0.0256394804 CCA1-df1
#> 20 20 -0.0270253982 CCA1-df1
#> 21 21 -0.0284113161 CCA1-df1
#> 22 22 -0.0297972339 CCA1-df1
#> 23 23 -0.0311831518 CCA1-df1
#> 24 24 -0.0325690696 CCA1-df1
#> 25 25 -0.0339549875 CCA1-df1
#> 26 26 -0.0353409054 CCA1-df1
#> 27 27 -0.0367268232 CCA1-df1
#> 28 28 -0.0381127411 CCA1-df1
#> 29 29 -0.0394986589 CCA1-df1
#> 30 30 -0.0408845768 CCA1-df1
#> 31 31 -0.0422704946 CCA1-df1
#> 32 32 -0.0436564125 CCA1-df1
#> 33 33 -0.0450423304 CCA1-df1
#> 34 34 -0.0464282482 CCA1-df1
#> 35 35 -0.0478141661 CCA1-df1
#> 36 36 -0.0492000839 CCA1-df1
#> 37 37 -0.0505860018 CCA1-df1
#> 38 38 -0.0519719197 CCA1-df1
#> 39 39 -0.0533578375 CCA1-df1
#> 40 40 -0.0547437554 CCA1-df1
#> 41 41 -0.0561296732 CCA1-df1
#> 42 42 -0.0575155911 CCA1-df1
#> 43 43 -0.0589015089 CCA1-df1
#> 44 44 -0.0602874268 CCA1-df1
#> 45 45 -0.0616733447 CCA1-df1
#> 46 46 -0.0630592625 CCA1-df1
#> 47 47 -0.0644451804 CCA1-df1
#> 48 48 -0.0658310982 CCA1-df1
#> 49 49 -0.0672170161 CCA1-df1
#> 50 50 -0.0686029339 CCA1-df1
#> 51 51 -0.0006929589 CCA1-df1
#> 52 52 -0.0020788768 CCA1-df1
#> 53 53 -0.0034647946 CCA1-df1
#> 54 54 -0.0048507125 CCA1-df1
#> 55 55 -0.0062366304 CCA1-df1
#> 56 56 -0.0076225482 CCA1-df1
#> 57 57 -0.0090084661 CCA1-df1
#> 58 58 -0.0103943839 CCA1-df1
#> 59 59 -0.0117803018 CCA1-df1
#> 60 60 -0.0131662196 CCA1-df1
#> 61 61 -0.0145521375 CCA1-df1
#> 62 62 -0.0159380554 CCA1-df1
#> 63 63 -0.0173239732 CCA1-df1
#> 64 64 -0.0187098911 CCA1-df1
#> 65 65 -0.0200958089 CCA1-df1
#> 66 66 -0.0214817268 CCA1-df1
#> 67 67 -0.0228676446 CCA1-df1
#> 68 68 -0.0242535625 CCA1-df1
#> 69 69 -0.0256394804 CCA1-df1
#> 70 70 -0.0270253982 CCA1-df1
#> 71 71 -0.0284113161 CCA1-df1
#> 72 72 -0.0297972339 CCA1-df1
#> 73 73 -0.0311831518 CCA1-df1
#> 74 74 -0.0325690696 CCA1-df1
#> 75 75 -0.0339549875 CCA1-df1
#> 76 76 -0.0353409054 CCA1-df1
#> 77 77 -0.0367268232 CCA1-df1
#> 78 78 -0.0381127411 CCA1-df1
#> 79 79 -0.0394986589 CCA1-df1
#> 80 80 -0.0408845768 CCA1-df1
#> 81 81 -0.0422704946 CCA1-df1
#> 82 82 -0.0436564125 CCA1-df1
#> 83 83 -0.0450423304 CCA1-df1
#> 84 84 -0.0464282482 CCA1-df1
#> 85 85 -0.0478141661 CCA1-df1
#> 86 86 -0.0492000839 CCA1-df1
#> 87 87 -0.0505860018 CCA1-df1
#> 88 88 -0.0519719197 CCA1-df1
#> 89 89 -0.0533578375 CCA1-df1
#> 90 90 -0.0547437554 CCA1-df1
#> 91 91 -0.0561296732 CCA1-df1
#> 92 92 -0.0575155911 CCA1-df1
#> 93 93 -0.0589015089 CCA1-df1
#> 94 94 -0.0602874268 CCA1-df1
#> 95 95 -0.0616733447 CCA1-df1
#> 96 96 -0.0630592625 CCA1-df1
#> 97 97 -0.0644451804 CCA1-df1
#> 98 98 -0.0658310982 CCA1-df1
#> 99 99 -0.0672170161 CCA1-df1
#> 100 100 -0.0686029339 CCA1-df1
#> 101 101 -0.0006929589 CCA1-df1
#> 102 102 -0.0020788768 CCA1-df1
#> 103 103 -0.0034647946 CCA1-df1
#> 104 104 -0.0048507125 CCA1-df1
#> 105 105 -0.0062366304 CCA1-df1
#> 106 106 -0.0076225482 CCA1-df1
#> 107 107 -0.0090084661 CCA1-df1
#> 108 108 -0.0103943839 CCA1-df1
#> 109 109 -0.0117803018 CCA1-df1
#> 110 110 -0.0131662196 CCA1-df1
#> 111 111 -0.0145521375 CCA1-df1
#> 112 112 -0.0159380554 CCA1-df1
#> 113 113 -0.0173239732 CCA1-df1
#> 114 114 -0.0187098911 CCA1-df1
#> 115 115 -0.0200958089 CCA1-df1
#> 116 116 -0.0214817268 CCA1-df1
#> 117 117 -0.0228676446 CCA1-df1
#> 118 118 -0.0242535625 CCA1-df1
#> 119 119 -0.0256394804 CCA1-df1
#> 120 120 -0.0270253982 CCA1-df1
#> 121 121 -0.0284113161 CCA1-df1
#> 122 122 -0.0297972339 CCA1-df1
#> 123 123 -0.0311831518 CCA1-df1
#> 124 124 -0.0325690696 CCA1-df1
#> 125 125 -0.0339549875 CCA1-df1
#> 126 126 -0.0353409054 CCA1-df1
#> 127 127 -0.0367268232 CCA1-df1
#> 128 128 -0.0381127411 CCA1-df1
#> 129 129 -0.0394986589 CCA1-df1
#> 130 130 -0.0408845768 CCA1-df1
#> 131 131 -0.0422704946 CCA1-df1
#> 132 132 -0.0436564125 CCA1-df1
#> 133 133 -0.0450423304 CCA1-df1
#> 134 134 -0.0464282482 CCA1-df1
#> 135 135 -0.0478141661 CCA1-df1
#> 136 136 -0.0492000839 CCA1-df1
#> 137 137 -0.0505860018 CCA1-df1
#> 138 138 -0.0519719197 CCA1-df1
#> 139 139 -0.0533578375 CCA1-df1
#> 140 140 -0.0547437554 CCA1-df1
#> 141 141 -0.0561296732 CCA1-df1
#> 142 142 -0.0575155911 CCA1-df1
#> 143 143 -0.0589015089 CCA1-df1
#> 144 144 -0.0602874268 CCA1-df1
#> 145 145 -0.0616733447 CCA1-df1
#> 146 146 -0.0630592625 CCA1-df1
#> 147 147 -0.0644451804 CCA1-df1
#> 148 148 -0.0658310982 CCA1-df1
#> 149 149 -0.0672170161 CCA1-df1
#> 150 150 -0.0686029339 CCA1-df1
#> 151 151 -0.0006929589 CCA1-df1
#> 152 152 -0.0020788768 CCA1-df1
#> 153 153 -0.0034647946 CCA1-df1
#> 154 154 -0.0048507125 CCA1-df1
#> 155 155 -0.0062366304 CCA1-df1
#> 156 156 -0.0076225482 CCA1-df1
#> 157 157 -0.0090084661 CCA1-df1
#> 158 158 -0.0103943839 CCA1-df1
#> 159 159 -0.0117803018 CCA1-df1
#> 160 160 -0.0131662196 CCA1-df1
#> 161 161 -0.0145521375 CCA1-df1
#> 162 162 -0.0159380554 CCA1-df1
#> 163 163 -0.0173239732 CCA1-df1
#> 164 164 -0.0187098911 CCA1-df1
#> 165 165 -0.0200958089 CCA1-df1
#> 166 166 -0.0214817268 CCA1-df1
#> 167 167 -0.0228676446 CCA1-df1
#> 168 168 -0.0242535625 CCA1-df1
#> 169 169 -0.0256394804 CCA1-df1
#> 170 170 -0.0270253982 CCA1-df1
#> 171 171 -0.0284113161 CCA1-df1
#> 172 172 -0.0297972339 CCA1-df1
#> 173 173 -0.0311831518 CCA1-df1
#> 174 174 -0.0325690696 CCA1-df1
#> 175 175 -0.0339549875 CCA1-df1
#> 176 176 -0.0353409054 CCA1-df1
#> 177 177 -0.0367268232 CCA1-df1
#> 178 178 -0.0381127411 CCA1-df1
#> 179 179 -0.0394986589 CCA1-df1
#> 180 180 -0.0408845768 CCA1-df1
#> 181 181 -0.0422704946 CCA1-df1
#> 182 182 -0.0436564125 CCA1-df1
#> 183 183 -0.0450423304 CCA1-df1
#> 184 184 -0.0464282482 CCA1-df1
#> 185 185 -0.0478141661 CCA1-df1
#> 186 186 -0.0492000839 CCA1-df1
#> 187 187 -0.0505860018 CCA1-df1
#> 188 188 -0.0519719197 CCA1-df1
#> 189 189 -0.0533578375 CCA1-df1
#> 190 190 -0.0547437554 CCA1-df1
#> 191 191 -0.0561296732 CCA1-df1
#> 192 192 -0.0575155911 CCA1-df1
#> 193 193 -0.0589015089 CCA1-df1
#> 194 194 -0.0602874268 CCA1-df1
#> 195 195 -0.0616733447 CCA1-df1
#> 196 196 -0.0630592625 CCA1-df1
#> 197 197 -0.0644451804 CCA1-df1
#> 198 198 -0.0658310982 CCA1-df1
#> 199 199 -0.0672170161 CCA1-df1
#> 200 200 -0.0686029339 CCA1-df1
#> 201 201 -0.0006929589 CCA1-df1
#> 202 202 -0.0020788768 CCA1-df1
#> 203 203 -0.0034647946 CCA1-df1
#> 204 204 -0.0048507125 CCA1-df1
#> 205 205 -0.0062366304 CCA1-df1
#> 206 206 -0.0076225482 CCA1-df1
#> 207 207 -0.0090084661 CCA1-df1
#> 208 208 -0.0103943839 CCA1-df1
#> 209 209 -0.0117803018 CCA1-df1
#> 210 210 -0.0131662196 CCA1-df1
#> 211 211 -0.0145521375 CCA1-df1
#> 212 212 -0.0159380554 CCA1-df1
#> 213 213 -0.0173239732 CCA1-df1
#> 214 214 -0.0187098911 CCA1-df1
#> 215 215 -0.0200958089 CCA1-df1
#> 216 216 -0.0214817268 CCA1-df1
#> 217 217 -0.0228676446 CCA1-df1
#> 218 218 -0.0242535625 CCA1-df1
#> 219 219 -0.0256394804 CCA1-df1
#> 220 220 -0.0270253982 CCA1-df1
#> 221 221 -0.0284113161 CCA1-df1
#> 222 222 -0.0297972339 CCA1-df1
#> 223 223 -0.0311831518 CCA1-df1
#> 224 224 -0.0325690696 CCA1-df1
#> 225 225 -0.0339549875 CCA1-df1
#> 226 226 -0.0353409054 CCA1-df1
#> 227 227 -0.0367268232 CCA1-df1
#> 228 228 -0.0381127411 CCA1-df1
#> 229 229 -0.0394986589 CCA1-df1
#> 230 230 -0.0408845768 CCA1-df1
#> 231 231 -0.0422704946 CCA1-df1
#> 232 232 -0.0436564125 CCA1-df1
#> 233 233 -0.0450423304 CCA1-df1
#> 234 234 -0.0464282482 CCA1-df1
#> 235 235 -0.0478141661 CCA1-df1
#> 236 236 -0.0492000839 CCA1-df1
#> 237 237 -0.0505860018 CCA1-df1
#> 238 238 -0.0519719197 CCA1-df1
#> 239 239 -0.0533578375 CCA1-df1
#> 240 240 -0.0547437554 CCA1-df1
#> 241 241 -0.0561296732 CCA1-df1
#> 242 242 -0.0575155911 CCA1-df1
#> 243 243 -0.0589015089 CCA1-df1
#> 244 244 -0.0602874268 CCA1-df1
#> 245 245 -0.0616733447 CCA1-df1
#> 246 246 -0.0630592625 CCA1-df1
#> 247 247 -0.0644451804 CCA1-df1
#> 248 248 -0.0658310982 CCA1-df1
#> 249 249 -0.0672170161 CCA1-df1
#> 250 250 -0.0686029339 CCA1-df1
#> 251 251 -0.0006929589 CCA1-df1
#> 252 252 -0.0020788768 CCA1-df1
#> 253 253 -0.0034647946 CCA1-df1
#> 254 254 -0.0048507125 CCA1-df1
#> 255 255 -0.0062366304 CCA1-df1
#> 256 256 -0.0076225482 CCA1-df1
#> 257 257 -0.0090084661 CCA1-df1
#> 258 258 -0.0103943839 CCA1-df1
#> 259 259 -0.0117803018 CCA1-df1
#> 260 260 -0.0131662196 CCA1-df1
#> 261 261 -0.0145521375 CCA1-df1
#> 262 262 -0.0159380554 CCA1-df1
#> 263 263 -0.0173239732 CCA1-df1
#> 264 264 -0.0187098911 CCA1-df1
#> 265 265 -0.0200958089 CCA1-df1
#> 266 266 -0.0214817268 CCA1-df1
#> 267 267 -0.0228676446 CCA1-df1
#> 268 268 -0.0242535625 CCA1-df1
#> 269 269 -0.0256394804 CCA1-df1
#> 270 270 -0.0270253982 CCA1-df1
#> 271 271 -0.0284113161 CCA1-df1
#> 272 272 -0.0297972339 CCA1-df1
#> 273 273 -0.0311831518 CCA1-df1
#> 274 274 -0.0325690696 CCA1-df1
#> 275 275 -0.0339549875 CCA1-df1
#> 276 276 -0.0353409054 CCA1-df1
#> 277 277 -0.0367268232 CCA1-df1
#> 278 278 -0.0381127411 CCA1-df1
#> 279 279 -0.0394986589 CCA1-df1
#> 280 280 -0.0408845768 CCA1-df1
#> 281 281 -0.0422704946 CCA1-df1
#> 282 282 -0.0436564125 CCA1-df1
#> 283 283 -0.0450423304 CCA1-df1
#> 284 284 -0.0464282482 CCA1-df1
#> 285 285 -0.0478141661 CCA1-df1
#> 286 286 -0.0492000839 CCA1-df1
#> 287 287 -0.0505860018 CCA1-df1
#> 288 288 -0.0519719197 CCA1-df1
#> 289 289 -0.0533578375 CCA1-df1
#> 290 290 -0.0547437554 CCA1-df1
#> 291 291 -0.0561296732 CCA1-df1
#> 292 292 -0.0575155911 CCA1-df1
#> 293 293 -0.0589015089 CCA1-df1
#> 294 294 -0.0602874268 CCA1-df1
#> 295 295 -0.0616733447 CCA1-df1
#> 296 296 -0.0630592625 CCA1-df1
#> 297 297 -0.0644451804 CCA1-df1
#> 298 298 -0.0658310982 CCA1-df1
#> 299 299 -0.0672170161 CCA1-df1
#> 300 300 -0.0686029339 CCA1-df1
#> 301 301 -0.0006929589 CCA1-df1
#> 302 302 -0.0020788768 CCA1-df1
#> 303 303 -0.0034647946 CCA1-df1
#> 304 304 -0.0048507125 CCA1-df1
#> 305 305 -0.0062366304 CCA1-df1
#> 306 306 -0.0076225482 CCA1-df1
#> 307 307 -0.0090084661 CCA1-df1
#> 308 308 -0.0103943839 CCA1-df1
#> 309 309 -0.0117803018 CCA1-df1
#> 310 310 -0.0131662196 CCA1-df1
#> 311 311 -0.0145521375 CCA1-df1
#> 312 312 -0.0159380554 CCA1-df1
#> 313 313 -0.0173239732 CCA1-df1
#> 314 314 -0.0187098911 CCA1-df1
#> 315 315 -0.0200958089 CCA1-df1
#> 316 316 -0.0214817268 CCA1-df1
#> 317 317 -0.0228676446 CCA1-df1
#> 318 318 -0.0242535625 CCA1-df1
#> 319 319 -0.0256394804 CCA1-df1
#> 320 320 -0.0270253982 CCA1-df1
#> 321 321 -0.0284113161 CCA1-df1
#> 322 322 -0.0297972339 CCA1-df1
#> 323 323 -0.0311831518 CCA1-df1
#> 324 324 -0.0325690696 CCA1-df1
#> 325 325 -0.0339549875 CCA1-df1
#> 326 326 -0.0353409054 CCA1-df1
#> 327 327 -0.0367268232 CCA1-df1
#> 328 328 -0.0381127411 CCA1-df1
#> 329 329 -0.0394986589 CCA1-df1
#> 330 330 -0.0408845768 CCA1-df1
#> 331 331 -0.0422704946 CCA1-df1
#> 332 332 -0.0436564125 CCA1-df1
#> 333 333 -0.0450423304 CCA1-df1
#> 334 334 -0.0464282482 CCA1-df1
#> 335 335 -0.0478141661 CCA1-df1
#> 336 336 -0.0492000839 CCA1-df1
#> 337 337 -0.0505860018 CCA1-df1
#> 338 338 -0.0519719197 CCA1-df1
#> 339 339 -0.0533578375 CCA1-df1
#> 340 340 -0.0547437554 CCA1-df1
#> 341 341 -0.0561296732 CCA1-df1
#> 342 342 -0.0575155911 CCA1-df1
#> 343 343 -0.0589015089 CCA1-df1
#> 344 344 -0.0602874268 CCA1-df1
#> 345 345 -0.0616733447 CCA1-df1
#> 346 346 -0.0630592625 CCA1-df1
#> 347 347 -0.0644451804 CCA1-df1
#> 348 348 -0.0658310982 CCA1-df1
#> 349 349 -0.0672170161 CCA1-df1
#> 350 350 -0.0686029339 CCA1-df1
#> 351 351 -0.0006929589 CCA1-df1
#> 352 352 -0.0020788768 CCA1-df1
#> 353 353 -0.0034647946 CCA1-df1
#> 354 354 -0.0048507125 CCA1-df1
#> 355 355 -0.0062366304 CCA1-df1
#> 356 356 -0.0076225482 CCA1-df1
#> 357 357 -0.0090084661 CCA1-df1
#> 358 358 -0.0103943839 CCA1-df1
#> 359 359 -0.0117803018 CCA1-df1
#> 360 360 -0.0131662196 CCA1-df1
#> 361 361 -0.0145521375 CCA1-df1
#> 362 362 -0.0159380554 CCA1-df1
#> 363 363 -0.0173239732 CCA1-df1
#> 364 364 -0.0187098911 CCA1-df1
#> 365 365 -0.0200958089 CCA1-df1
#> 366 366 -0.0214817268 CCA1-df1
#> 367 367 -0.0228676446 CCA1-df1
#> 368 368 -0.0242535625 CCA1-df1
#> 369 369 -0.0256394804 CCA1-df1
#> 370 370 -0.0270253982 CCA1-df1
#> 371 371 -0.0284113161 CCA1-df1
#> 372 372 -0.0297972339 CCA1-df1
#> 373 373 -0.0311831518 CCA1-df1
#> 374 374 -0.0325690696 CCA1-df1
#> 375 375 -0.0339549875 CCA1-df1
#> 376 376 -0.0353409054 CCA1-df1
#> 377 377 -0.0367268232 CCA1-df1
#> 378 378 -0.0381127411 CCA1-df1
#> 379 379 -0.0394986589 CCA1-df1
#> 380 380 -0.0408845768 CCA1-df1
#> 381 381 -0.0422704946 CCA1-df1
#> 382 382 -0.0436564125 CCA1-df1
#> 383 383 -0.0450423304 CCA1-df1
#> 384 384 -0.0464282482 CCA1-df1
#> 385 385 -0.0478141661 CCA1-df1
#> 386 386 -0.0492000839 CCA1-df1
#> 387 387 -0.0505860018 CCA1-df1
#> 388 388 -0.0519719197 CCA1-df1
#> 389 389 -0.0533578375 CCA1-df1
#> 390 390 -0.0547437554 CCA1-df1
#> 391 391 -0.0561296732 CCA1-df1
#> 392 392 -0.0575155911 CCA1-df1
#> 393 393 -0.0589015089 CCA1-df1
#> 394 394 -0.0602874268 CCA1-df1
#> 395 395 -0.0616733447 CCA1-df1
#> 396 396 -0.0630592625 CCA1-df1
#> 397 397 -0.0644451804 CCA1-df1
#> 398 398 -0.0658310982 CCA1-df1
#> 399 399 -0.0672170161 CCA1-df1
#> 400 400 -0.0686029339 CCA1-df1
#> 401 401 -0.0006929589 CCA1-df1
#> 402 402 -0.0020788768 CCA1-df1
#> 403 403 -0.0034647946 CCA1-df1
#> 404 404 -0.0048507125 CCA1-df1
#> 405 405 -0.0062366304 CCA1-df1
#> 406 406 -0.0076225482 CCA1-df1
#> 407 407 -0.0090084661 CCA1-df1
#> 408 408 -0.0103943839 CCA1-df1
#> 409 409 -0.0117803018 CCA1-df1
#> 410 410 -0.0131662196 CCA1-df1
#> 411 411 -0.0145521375 CCA1-df1
#> 412 412 -0.0159380554 CCA1-df1
#> 413 413 -0.0173239732 CCA1-df1
#> 414 414 -0.0187098911 CCA1-df1
#> 415 415 -0.0200958089 CCA1-df1
#> 416 416 -0.0214817268 CCA1-df1
#> 417 417 -0.0228676446 CCA1-df1
#> 418 418 -0.0242535625 CCA1-df1
#> 419 419 -0.0256394804 CCA1-df1
#> 420 420 -0.0270253982 CCA1-df1
#> 421 421 -0.0284113161 CCA1-df1
#> 422 422 -0.0297972339 CCA1-df1
#> 423 423 -0.0311831518 CCA1-df1
#> 424 424 -0.0325690696 CCA1-df1
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#> 849 849 -0.0672170161 CCA1-df1
#> 850 850 -0.0686029339 CCA1-df1
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#> 862 862 -0.0159380554 CCA1-df1
#> 863 863 -0.0173239732 CCA1-df1
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#> 870 870 -0.0270253982 CCA1-df1
#> 871 871 -0.0284113161 CCA1-df1
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#> 875 875 -0.0339549875 CCA1-df1
#> 876 876 -0.0353409054 CCA1-df1
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#> 878 878 -0.0381127411 CCA1-df1
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#> 880 880 -0.0408845768 CCA1-df1
#> 881 881 -0.0422704946 CCA1-df1
#> 882 882 -0.0436564125 CCA1-df1
#> 883 883 -0.0450423304 CCA1-df1
#> 884 884 -0.0464282482 CCA1-df1
#> 885 885 -0.0478141661 CCA1-df1
#> 886 886 -0.0492000839 CCA1-df1
#> 887 887 -0.0505860018 CCA1-df1
#> 888 888 -0.0519719197 CCA1-df1
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#> 896 896 -0.0630592625 CCA1-df1
#> 897 897 -0.0644451804 CCA1-df1
#> 898 898 -0.0658310982 CCA1-df1
#> 899 899 -0.0672170161 CCA1-df1
#> 900 900 -0.0686029339 CCA1-df1
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#> 903 903 -0.0034647946 CCA1-df1
#> 904 904 -0.0048507125 CCA1-df1
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#> 907 907 -0.0090084661 CCA1-df1
#> 908 908 -0.0103943839 CCA1-df1
#> 909 909 -0.0117803018 CCA1-df1
#> 910 910 -0.0131662196 CCA1-df1
#> 911 911 -0.0145521375 CCA1-df1
#> 912 912 -0.0159380554 CCA1-df1
#> 913 913 -0.0173239732 CCA1-df1
#> 914 914 -0.0187098911 CCA1-df1
#> 915 915 -0.0200958089 CCA1-df1
#> 916 916 -0.0214817268 CCA1-df1
#> 917 917 -0.0228676446 CCA1-df1
#> 918 918 -0.0242535625 CCA1-df1
#> 919 919 -0.0256394804 CCA1-df1
#> 920 920 -0.0270253982 CCA1-df1
#> 921 921 -0.0284113161 CCA1-df1
#> 922 922 -0.0297972339 CCA1-df1
#> 923 923 -0.0311831518 CCA1-df1
#> 924 924 -0.0325690696 CCA1-df1
#> 925 925 -0.0339549875 CCA1-df1
#> 926 926 -0.0353409054 CCA1-df1
#> 927 927 -0.0367268232 CCA1-df1
#> 928 928 -0.0381127411 CCA1-df1
#> 929 929 -0.0394986589 CCA1-df1
#> 930 930 -0.0408845768 CCA1-df1
#> 931 931 -0.0422704946 CCA1-df1
#> 932 932 -0.0436564125 CCA1-df1
#> 933 933 -0.0450423304 CCA1-df1
#> 934 934 -0.0464282482 CCA1-df1
#> 935 935 -0.0478141661 CCA1-df1
#> 936 936 -0.0492000839 CCA1-df1
#> 937 937 -0.0505860018 CCA1-df1
#> 938 938 -0.0519719197 CCA1-df1
#> 939 939 -0.0533578375 CCA1-df1
#> 940 940 -0.0547437554 CCA1-df1
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#> 948 948 -0.0658310982 CCA1-df1
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#> 950 950 -0.0686029339 CCA1-df1
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#> 960 960 -0.0131662196 CCA1-df1
#> 961 961 -0.0145521375 CCA1-df1
#> 962 962 -0.0159380554 CCA1-df1
#> 963 963 -0.0173239732 CCA1-df1
#> 964 964 -0.0187098911 CCA1-df1
#> 965 965 -0.0200958089 CCA1-df1
#> 966 966 -0.0214817268 CCA1-df1
#> 967 967 -0.0228676446 CCA1-df1
#> 968 968 -0.0242535625 CCA1-df1
#> 969 969 -0.0256394804 CCA1-df1
#> 970 970 -0.0270253982 CCA1-df1
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#> 976 976 -0.0353409054 CCA1-df1
#> 977 977 -0.0367268232 CCA1-df1
#> 978 978 -0.0381127411 CCA1-df1
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#> 980 980 -0.0408845768 CCA1-df1
#> 981 981 -0.0422704946 CCA1-df1
#> 982 982 -0.0436564125 CCA1-df1
#> 983 983 -0.0450423304 CCA1-df1
#> 984 984 -0.0464282482 CCA1-df1
#> 985 985 -0.0478141661 CCA1-df1
#> 986 986 -0.0492000839 CCA1-df1
#> 987 987 -0.0505860018 CCA1-df1
#> 988 988 -0.0519719197 CCA1-df1
#> 989 989 -0.0533578375 CCA1-df1
#> 990 990 -0.0547437554 CCA1-df1
#> 991 991 -0.0561296732 CCA1-df1
#> 992 992 -0.0575155911 CCA1-df1
#> 993 993 -0.0589015089 CCA1-df1
#> 994 994 -0.0602874268 CCA1-df1
#> 995 995 -0.0616733447 CCA1-df1
#> 996 996 -0.0630592625 CCA1-df1
#> 997 997 -0.0644451804 CCA1-df1
#> 998 998 -0.0658310982 CCA1-df1
#> 999 999 -0.0672170161 CCA1-df1
#> 1000 1000 -0.0686029339 CCA1-df1
#> 1001 1001 -0.0006929589 CCA1-df1
#> 1002 1002 -0.0020788768 CCA1-df1
#> 1003 1003 -0.0034647946 CCA1-df1
#> 1004 1004 -0.0048507125 CCA1-df1
#> 1005 1005 -0.0062366304 CCA1-df1
#> 1006 1006 -0.0076225482 CCA1-df1
#> 1007 1007 -0.0090084661 CCA1-df1
#> 1008 1008 -0.0103943839 CCA1-df1
#> 1009 1009 -0.0117803018 CCA1-df1
#> 1010 1010 -0.0131662196 CCA1-df1
#> 1011 1011 -0.0145521375 CCA1-df1
#> 1012 1012 -0.0159380554 CCA1-df1
#> 1013 1013 -0.0173239732 CCA1-df1
#> 1014 1014 -0.0187098911 CCA1-df1
#> 1015 1015 -0.0200958089 CCA1-df1
#> 1016 1016 -0.0214817268 CCA1-df1
#> 1017 1017 -0.0228676446 CCA1-df1
#> 1018 1018 -0.0242535625 CCA1-df1
#> 1019 1019 -0.0256394804 CCA1-df1
#> 1020 1020 -0.0270253982 CCA1-df1
#> 1021 1021 -0.0284113161 CCA1-df1
#> 1022 1022 -0.0297972339 CCA1-df1
#> 1023 1023 -0.0311831518 CCA1-df1
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#> 1026 1026 -0.0353409054 CCA1-df1
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#> 1032 1032 -0.0436564125 CCA1-df1
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#> 1036 1036 -0.0492000839 CCA1-df1
#> 1037 1037 -0.0505860018 CCA1-df1
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#> 1047 1047 -0.0644451804 CCA1-df1
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#> 1065 1065 -0.0200958089 CCA1-df1
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#> 1067 1067 -0.0228676446 CCA1-df1
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#> 1069 1069 -0.0256394804 CCA1-df1
#> 1070 1070 -0.0270253982 CCA1-df1
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#> 1077 1077 -0.0367268232 CCA1-df1
#> 1078 1078 -0.0381127411 CCA1-df1
#> 1079 1079 -0.0394986589 CCA1-df1
#> 1080 1080 -0.0408845768 CCA1-df1
#> 1081 1081 -0.0422704946 CCA1-df1
#> 1082 1082 -0.0436564125 CCA1-df1
#> 1083 1083 -0.0450423304 CCA1-df1
#> 1084 1084 -0.0464282482 CCA1-df1
#> 1085 1085 -0.0478141661 CCA1-df1
#> 1086 1086 -0.0492000839 CCA1-df1
#> 1087 1087 -0.0505860018 CCA1-df1
#> 1088 1088 -0.0519719197 CCA1-df1
#> 1089 1089 -0.0533578375 CCA1-df1
#> 1090 1090 -0.0547437554 CCA1-df1
#> 1091 1091 -0.0561296732 CCA1-df1
#> 1092 1092 -0.0575155911 CCA1-df1
#> 1093 1093 -0.0589015089 CCA1-df1
#> 1094 1094 -0.0602874268 CCA1-df1
#> 1095 1095 -0.0616733447 CCA1-df1
#> 1096 1096 -0.0630592625 CCA1-df1
#> 1097 1097 -0.0644451804 CCA1-df1
#> 1098 1098 -0.0658310982 CCA1-df1
#> 1099 1099 -0.0672170161 CCA1-df1
#> 1100 1100 -0.0686029339 CCA1-df1
#> 1101 1101 -0.0006929589 CCA1-df1
#> 1102 1102 -0.0020788768 CCA1-df1
#> 1103 1103 -0.0034647946 CCA1-df1
#> 1104 1104 -0.0048507125 CCA1-df1
#> 1105 1105 -0.0062366304 CCA1-df1
#> 1106 1106 -0.0076225482 CCA1-df1
#> 1107 1107 -0.0090084661 CCA1-df1
#> 1108 1108 -0.0103943839 CCA1-df1
#> 1109 1109 -0.0117803018 CCA1-df1
#> 1110 1110 -0.0131662196 CCA1-df1
#> 1111 1111 -0.0145521375 CCA1-df1
#> 1112 1112 -0.0159380554 CCA1-df1
#> 1113 1113 -0.0173239732 CCA1-df1
#> 1114 1114 -0.0187098911 CCA1-df1
#> 1115 1115 -0.0200958089 CCA1-df1
#> 1116 1116 -0.0214817268 CCA1-df1
#> 1117 1117 -0.0228676446 CCA1-df1
#> 1118 1118 -0.0242535625 CCA1-df1
#> 1119 1119 -0.0256394804 CCA1-df1
#> 1120 1120 -0.0270253982 CCA1-df1
#> 1121 1121 -0.0284113161 CCA1-df1
#> 1122 1122 -0.0297972339 CCA1-df1
#> 1123 1123 -0.0311831518 CCA1-df1
#> 1124 1124 -0.0325690696 CCA1-df1
#> 1125 1125 -0.0339549875 CCA1-df1
#> 1126 1126 -0.0353409054 CCA1-df1
#> 1127 1127 -0.0367268232 CCA1-df1
#> 1128 1128 -0.0381127411 CCA1-df1
#> 1129 1129 -0.0394986589 CCA1-df1
#> 1130 1130 -0.0408845768 CCA1-df1
#> 1131 1131 -0.0422704946 CCA1-df1
#> 1132 1132 -0.0436564125 CCA1-df1
#> 1133 1133 -0.0450423304 CCA1-df1
#> 1134 1134 -0.0464282482 CCA1-df1
#> 1135 1135 -0.0478141661 CCA1-df1
#> 1136 1136 -0.0492000839 CCA1-df1
#> 1137 1137 -0.0505860018 CCA1-df1
#> 1138 1138 -0.0519719197 CCA1-df1
#> 1139 1139 -0.0533578375 CCA1-df1
#> 1140 1140 -0.0547437554 CCA1-df1
#> 1141 1141 -0.0561296732 CCA1-df1
#> 1142 1142 -0.0575155911 CCA1-df1
#> 1143 1143 -0.0589015089 CCA1-df1
#> 1144 1144 -0.0602874268 CCA1-df1
#> 1145 1145 -0.0616733447 CCA1-df1
#> 1146 1146 -0.0630592625 CCA1-df1
#> 1147 1147 -0.0644451804 CCA1-df1
#> 1148 1148 -0.0658310982 CCA1-df1
#> 1149 1149 -0.0672170161 CCA1-df1
#> 1150 1150 -0.0686029339 CCA1-df1
#> 1151 1151 -0.0006929589 CCA1-df1
#> 1152 1152 -0.0020788768 CCA1-df1
#> 1153 1153 -0.0034647946 CCA1-df1
#> 1154 1154 -0.0048507125 CCA1-df1
#> 1155 1155 -0.0062366304 CCA1-df1
#> 1156 1156 -0.0076225482 CCA1-df1
#> 1157 1157 -0.0090084661 CCA1-df1
#> 1158 1158 -0.0103943839 CCA1-df1
#> 1159 1159 -0.0117803018 CCA1-df1
#> 1160 1160 -0.0131662196 CCA1-df1
#> 1161 1161 -0.0145521375 CCA1-df1
#> 1162 1162 -0.0159380554 CCA1-df1
#> 1163 1163 -0.0173239732 CCA1-df1
#> 1164 1164 -0.0187098911 CCA1-df1
#> 1165 1165 -0.0200958089 CCA1-df1
#> 1166 1166 -0.0214817268 CCA1-df1
#> 1167 1167 -0.0228676446 CCA1-df1
#> 1168 1168 -0.0242535625 CCA1-df1
#> 1169 1169 -0.0256394804 CCA1-df1
#> 1170 1170 -0.0270253982 CCA1-df1
#> 1171 1171 -0.0284113161 CCA1-df1
#> 1172 1172 -0.0297972339 CCA1-df1
#> 1173 1173 -0.0311831518 CCA1-df1
#> 1174 1174 -0.0325690696 CCA1-df1
#> 1175 1175 -0.0339549875 CCA1-df1
#> 1176 1176 -0.0353409054 CCA1-df1
#> 1177 1177 -0.0367268232 CCA1-df1
#> 1178 1178 -0.0381127411 CCA1-df1
#> 1179 1179 -0.0394986589 CCA1-df1
#> 1180 1180 -0.0408845768 CCA1-df1
#> 1181 1181 -0.0422704946 CCA1-df1
#> 1182 1182 -0.0436564125 CCA1-df1
#> 1183 1183 -0.0450423304 CCA1-df1
#> 1184 1184 -0.0464282482 CCA1-df1
#> 1185 1185 -0.0478141661 CCA1-df1
#> 1186 1186 -0.0492000839 CCA1-df1
#> 1187 1187 -0.0505860018 CCA1-df1
#> 1188 1188 -0.0519719197 CCA1-df1
#> 1189 1189 -0.0533578375 CCA1-df1
#> 1190 1190 -0.0547437554 CCA1-df1
#> 1191 1191 -0.0561296732 CCA1-df1
#> 1192 1192 -0.0575155911 CCA1-df1
#> 1193 1193 -0.0589015089 CCA1-df1
#> 1194 1194 -0.0602874268 CCA1-df1
#> 1195 1195 -0.0616733447 CCA1-df1
#> 1196 1196 -0.0630592625 CCA1-df1
#> 1197 1197 -0.0644451804 CCA1-df1
#> 1198 1198 -0.0658310982 CCA1-df1
#> 1199 1199 -0.0672170161 CCA1-df1
#> 1200 1200 -0.0686029339 CCA1-df1
#> 1201 1201 -0.0006929589 CCA1-df1
#> 1202 1202 -0.0020788768 CCA1-df1
#> 1203 1203 -0.0034647946 CCA1-df1
#> 1204 1204 -0.0048507125 CCA1-df1
#> 1205 1205 -0.0062366304 CCA1-df1
#> 1206 1206 -0.0076225482 CCA1-df1
#> 1207 1207 -0.0090084661 CCA1-df1
#> 1208 1208 -0.0103943839 CCA1-df1
#> 1209 1209 -0.0117803018 CCA1-df1
#> 1210 1210 -0.0131662196 CCA1-df1
#> 1211 1211 -0.0145521375 CCA1-df1
#> 1212 1212 -0.0159380554 CCA1-df1
#> 1213 1213 -0.0173239732 CCA1-df1
#> 1214 1214 -0.0187098911 CCA1-df1
#> 1215 1215 -0.0200958089 CCA1-df1
#> 1216 1216 -0.0214817268 CCA1-df1
#> 1217 1217 -0.0228676446 CCA1-df1
#> 1218 1218 -0.0242535625 CCA1-df1
#> 1219 1219 -0.0256394804 CCA1-df1
#> 1220 1220 -0.0270253982 CCA1-df1
#> 1221 1221 -0.0284113161 CCA1-df1
#> 1222 1222 -0.0297972339 CCA1-df1
#> 1223 1223 -0.0311831518 CCA1-df1
#> 1224 1224 -0.0325690696 CCA1-df1
#> 1225 1225 -0.0339549875 CCA1-df1
#> 1226 1226 -0.0353409054 CCA1-df1
#> 1227 1227 -0.0367268232 CCA1-df1
#> 1228 1228 -0.0381127411 CCA1-df1
#> 1229 1229 -0.0394986589 CCA1-df1
#> 1230 1230 -0.0408845768 CCA1-df1
#> 1231 1231 -0.0422704946 CCA1-df1
#> 1232 1232 -0.0436564125 CCA1-df1
#> 1233 1233 -0.0450423304 CCA1-df1
#> 1234 1234 -0.0464282482 CCA1-df1
#> 1235 1235 -0.0478141661 CCA1-df1
#> 1236 1236 -0.0492000839 CCA1-df1
#> 1237 1237 -0.0505860018 CCA1-df1
#> 1238 1238 -0.0519719197 CCA1-df1
#> 1239 1239 -0.0533578375 CCA1-df1
#> 1240 1240 -0.0547437554 CCA1-df1
#> 1241 1241 -0.0561296732 CCA1-df1
#> 1242 1242 -0.0575155911 CCA1-df1
#> 1243 1243 -0.0589015089 CCA1-df1
#> 1244 1244 -0.0602874268 CCA1-df1
#> 1245 1245 -0.0616733447 CCA1-df1
#> 1246 1246 -0.0630592625 CCA1-df1
#> 1247 1247 -0.0644451804 CCA1-df1
#> 1248 1248 -0.0658310982 CCA1-df1
#> 1249 1249 -0.0672170161 CCA1-df1
#> 1250 1250 -0.0686029339 CCA1-df1
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#> 1653 1653 -0.0034647946 CCA1-df1
#> 1654 1654 -0.0048507125 CCA1-df1
#> 1655 1655 -0.0062366304 CCA1-df1
#> 1656 1656 -0.0076225482 CCA1-df1
#> 1657 1657 -0.0090084661 CCA1-df1
#> 1658 1658 -0.0103943839 CCA1-df1
#> 1659 1659 -0.0117803018 CCA1-df1
#> 1660 1660 -0.0131662196 CCA1-df1
#> 1661 1661 -0.0145521375 CCA1-df1
#> 1662 1662 -0.0159380554 CCA1-df1
#> 1663 1663 -0.0173239732 CCA1-df1
#> 1664 1664 -0.0187098911 CCA1-df1
#> 1665 1665 -0.0200958089 CCA1-df1
#> 1666 1666 -0.0214817268 CCA1-df1
#> 1667 1667 -0.0228676446 CCA1-df1
#> 1668 1668 -0.0242535625 CCA1-df1
#> 1669 1669 -0.0256394804 CCA1-df1
#> 1670 1670 -0.0270253982 CCA1-df1
#> 1671 1671 -0.0284113161 CCA1-df1
#> 1672 1672 -0.0297972339 CCA1-df1
#> 1673 1673 -0.0311831518 CCA1-df1
#> 1674 1674 -0.0325690696 CCA1-df1
#> 1675 1675 -0.0339549875 CCA1-df1
#> 1676 1676 -0.0353409054 CCA1-df1
#> 1677 1677 -0.0367268232 CCA1-df1
#> 1678 1678 -0.0381127411 CCA1-df1
#> 1679 1679 -0.0394986589 CCA1-df1
#> 1680 1680 -0.0408845768 CCA1-df1
#> 1681 1681 -0.0422704946 CCA1-df1
#> 1682 1682 -0.0436564125 CCA1-df1
#> 1683 1683 -0.0450423304 CCA1-df1
#> 1684 1684 -0.0464282482 CCA1-df1
#> 1685 1685 -0.0478141661 CCA1-df1
#> 1686 1686 -0.0492000839 CCA1-df1
#> 1687 1687 -0.0505860018 CCA1-df1
#> 1688 1688 -0.0519719197 CCA1-df1
#> 1689 1689 -0.0533578375 CCA1-df1
#> 1690 1690 -0.0547437554 CCA1-df1
#> 1691 1691 -0.0561296732 CCA1-df1
#> 1692 1692 -0.0575155911 CCA1-df1
#> 1693 1693 -0.0589015089 CCA1-df1
#> 1694 1694 -0.0602874268 CCA1-df1
#> 1695 1695 -0.0616733447 CCA1-df1
#> 1696 1696 -0.0630592625 CCA1-df1
#> 1697 1697 -0.0644451804 CCA1-df1
#> 1698 1698 -0.0658310982 CCA1-df1
#> 1699 1699 -0.0672170161 CCA1-df1
#> 1700 1700 -0.0686029339 CCA1-df1
#> 1701 1701 -0.0006929589 CCA1-df1
#> 1702 1702 -0.0020788768 CCA1-df1
#> 1703 1703 -0.0034647946 CCA1-df1
#> 1704 1704 -0.0048507125 CCA1-df1
#> 1705 1705 -0.0062366304 CCA1-df1
#> 1706 1706 -0.0076225482 CCA1-df1
#> 1707 1707 -0.0090084661 CCA1-df1
#> 1708 1708 -0.0103943839 CCA1-df1
#> 1709 1709 -0.0117803018 CCA1-df1
#> 1710 1710 -0.0131662196 CCA1-df1
#> 1711 1711 -0.0145521375 CCA1-df1
#> 1712 1712 -0.0159380554 CCA1-df1
#> 1713 1713 -0.0173239732 CCA1-df1
#> 1714 1714 -0.0187098911 CCA1-df1
#> 1715 1715 -0.0200958089 CCA1-df1
#> 1716 1716 -0.0214817268 CCA1-df1
#> 1717 1717 -0.0228676446 CCA1-df1
#> 1718 1718 -0.0242535625 CCA1-df1
#> 1719 1719 -0.0256394804 CCA1-df1
#> 1720 1720 -0.0270253982 CCA1-df1
#> 1721 1721 -0.0284113161 CCA1-df1
#> 1722 1722 -0.0297972339 CCA1-df1
#> 1723 1723 -0.0311831518 CCA1-df1
#> 1724 1724 -0.0325690696 CCA1-df1
#> 1725 1725 -0.0339549875 CCA1-df1
#> 1726 1726 -0.0353409054 CCA1-df1
#> 1727 1727 -0.0367268232 CCA1-df1
#> 1728 1728 -0.0381127411 CCA1-df1
#> 1729 1729 -0.0394986589 CCA1-df1
#> 1730 1730 -0.0408845768 CCA1-df1
#> 1731 1731 -0.0422704946 CCA1-df1
#> 1732 1732 -0.0436564125 CCA1-df1
#> 1733 1733 -0.0450423304 CCA1-df1
#> 1734 1734 -0.0464282482 CCA1-df1
#> 1735 1735 -0.0478141661 CCA1-df1
#> 1736 1736 -0.0492000839 CCA1-df1
#> 1737 1737 -0.0505860018 CCA1-df1
#> 1738 1738 -0.0519719197 CCA1-df1
#> 1739 1739 -0.0533578375 CCA1-df1
#> 1740 1740 -0.0547437554 CCA1-df1
#> 1741 1741 -0.0561296732 CCA1-df1
#> 1742 1742 -0.0575155911 CCA1-df1
#> 1743 1743 -0.0589015089 CCA1-df1
#> 1744 1744 -0.0602874268 CCA1-df1
#> 1745 1745 -0.0616733447 CCA1-df1
#> 1746 1746 -0.0630592625 CCA1-df1
#> 1747 1747 -0.0644451804 CCA1-df1
#> 1748 1748 -0.0658310982 CCA1-df1
#> 1749 1749 -0.0672170161 CCA1-df1
#> 1750 1750 -0.0686029339 CCA1-df1
#> 1751 1751 -0.0006929589 CCA1-df1
#> 1752 1752 -0.0020788768 CCA1-df1
#> 1753 1753 -0.0034647946 CCA1-df1
#> 1754 1754 -0.0048507125 CCA1-df1
#> 1755 1755 -0.0062366304 CCA1-df1
#> 1756 1756 -0.0076225482 CCA1-df1
#> 1757 1757 -0.0090084661 CCA1-df1
#> 1758 1758 -0.0103943839 CCA1-df1
#> 1759 1759 -0.0117803018 CCA1-df1
#> 1760 1760 -0.0131662196 CCA1-df1
#> 1761 1761 -0.0145521375 CCA1-df1
#> 1762 1762 -0.0159380554 CCA1-df1
#> 1763 1763 -0.0173239732 CCA1-df1
#> 1764 1764 -0.0187098911 CCA1-df1
#> 1765 1765 -0.0200958089 CCA1-df1
#> 1766 1766 -0.0214817268 CCA1-df1
#> 1767 1767 -0.0228676446 CCA1-df1
#> 1768 1768 -0.0242535625 CCA1-df1
#> 1769 1769 -0.0256394804 CCA1-df1
#> 1770 1770 -0.0270253982 CCA1-df1
#> 1771 1771 -0.0284113161 CCA1-df1
#> 1772 1772 -0.0297972339 CCA1-df1
#> 1773 1773 -0.0311831518 CCA1-df1
#> 1774 1774 -0.0325690696 CCA1-df1
#> 1775 1775 -0.0339549875 CCA1-df1
#> 1776 1776 -0.0353409054 CCA1-df1
#> 1777 1777 -0.0367268232 CCA1-df1
#> 1778 1778 -0.0381127411 CCA1-df1
#> 1779 1779 -0.0394986589 CCA1-df1
#> 1780 1780 -0.0408845768 CCA1-df1
#> 1781 1781 -0.0422704946 CCA1-df1
#> 1782 1782 -0.0436564125 CCA1-df1
#> 1783 1783 -0.0450423304 CCA1-df1
#> 1784 1784 -0.0464282482 CCA1-df1
#> 1785 1785 -0.0478141661 CCA1-df1
#> 1786 1786 -0.0492000839 CCA1-df1
#> 1787 1787 -0.0505860018 CCA1-df1
#> 1788 1788 -0.0519719197 CCA1-df1
#> 1789 1789 -0.0533578375 CCA1-df1
#> 1790 1790 -0.0547437554 CCA1-df1
#> 1791 1791 -0.0561296732 CCA1-df1
#> 1792 1792 -0.0575155911 CCA1-df1
#> 1793 1793 -0.0589015089 CCA1-df1
#> 1794 1794 -0.0602874268 CCA1-df1
#> 1795 1795 -0.0616733447 CCA1-df1
#> 1796 1796 -0.0630592625 CCA1-df1
#> 1797 1797 -0.0644451804 CCA1-df1
#> 1798 1798 -0.0658310982 CCA1-df1
#> 1799 1799 -0.0672170161 CCA1-df1
#> 1800 1800 -0.0686029339 CCA1-df1
#> 1801 1801 -0.0006929589 CCA1-df1
#> 1802 1802 -0.0020788768 CCA1-df1
#> 1803 1803 -0.0034647946 CCA1-df1
#> 1804 1804 -0.0048507125 CCA1-df1
#> 1805 1805 -0.0062366304 CCA1-df1
#> 1806 1806 -0.0076225482 CCA1-df1
#> 1807 1807 -0.0090084661 CCA1-df1
#> 1808 1808 -0.0103943839 CCA1-df1
#> 1809 1809 -0.0117803018 CCA1-df1
#> 1810 1810 -0.0131662196 CCA1-df1
#> 1811 1811 -0.0145521375 CCA1-df1
#> 1812 1812 -0.0159380554 CCA1-df1
#> 1813 1813 -0.0173239732 CCA1-df1
#> 1814 1814 -0.0187098911 CCA1-df1
#> 1815 1815 -0.0200958089 CCA1-df1
#> 1816 1816 -0.0214817268 CCA1-df1
#> 1817 1817 -0.0228676446 CCA1-df1
#> 1818 1818 -0.0242535625 CCA1-df1
#> 1819 1819 -0.0256394804 CCA1-df1
#> 1820 1820 -0.0270253982 CCA1-df1
#> 1821 1821 -0.0284113161 CCA1-df1
#> 1822 1822 -0.0297972339 CCA1-df1
#> 1823 1823 -0.0311831518 CCA1-df1
#> 1824 1824 -0.0325690696 CCA1-df1
#> 1825 1825 -0.0339549875 CCA1-df1
#> 1826 1826 -0.0353409054 CCA1-df1
#> 1827 1827 -0.0367268232 CCA1-df1
#> 1828 1828 -0.0381127411 CCA1-df1
#> 1829 1829 -0.0394986589 CCA1-df1
#> 1830 1830 -0.0408845768 CCA1-df1
#> 1831 1831 -0.0422704946 CCA1-df1
#> 1832 1832 -0.0436564125 CCA1-df1
#> 1833 1833 -0.0450423304 CCA1-df1
#> 1834 1834 -0.0464282482 CCA1-df1
#> 1835 1835 -0.0478141661 CCA1-df1
#> 1836 1836 -0.0492000839 CCA1-df1
#> 1837 1837 -0.0505860018 CCA1-df1
#> 1838 1838 -0.0519719197 CCA1-df1
#> 1839 1839 -0.0533578375 CCA1-df1
#> 1840 1840 -0.0547437554 CCA1-df1
#> 1841 1841 -0.0561296732 CCA1-df1
#> 1842 1842 -0.0575155911 CCA1-df1
#> 1843 1843 -0.0589015089 CCA1-df1
#> 1844 1844 -0.0602874268 CCA1-df1
#> 1845 1845 -0.0616733447 CCA1-df1
#> 1846 1846 -0.0630592625 CCA1-df1
#> 1847 1847 -0.0644451804 CCA1-df1
#> 1848 1848 -0.0658310982 CCA1-df1
#> 1849 1849 -0.0672170161 CCA1-df1
#> 1850 1850 -0.0686029339 CCA1-df1
#> 1851 1851 -0.0006929589 CCA1-df1
#> 1852 1852 -0.0020788768 CCA1-df1
#> 1853 1853 -0.0034647946 CCA1-df1
#> 1854 1854 -0.0048507125 CCA1-df1
#> 1855 1855 -0.0062366304 CCA1-df1
#> 1856 1856 -0.0076225482 CCA1-df1
#> 1857 1857 -0.0090084661 CCA1-df1
#> 1858 1858 -0.0103943839 CCA1-df1
#> 1859 1859 -0.0117803018 CCA1-df1
#> 1860 1860 -0.0131662196 CCA1-df1
#> 1861 1861 -0.0145521375 CCA1-df1
#> 1862 1862 -0.0159380554 CCA1-df1
#> 1863 1863 -0.0173239732 CCA1-df1
#> 1864 1864 -0.0187098911 CCA1-df1
#> 1865 1865 -0.0200958089 CCA1-df1
#> 1866 1866 -0.0214817268 CCA1-df1
#> 1867 1867 -0.0228676446 CCA1-df1
#> 1868 1868 -0.0242535625 CCA1-df1
#> 1869 1869 -0.0256394804 CCA1-df1
#> 1870 1870 -0.0270253982 CCA1-df1
#> 1871 1871 -0.0284113161 CCA1-df1
#> 1872 1872 -0.0297972339 CCA1-df1
#> 1873 1873 -0.0311831518 CCA1-df1
#> 1874 1874 -0.0325690696 CCA1-df1
#> 1875 1875 -0.0339549875 CCA1-df1
#> 1876 1876 -0.0353409054 CCA1-df1
#> 1877 1877 -0.0367268232 CCA1-df1
#> 1878 1878 -0.0381127411 CCA1-df1
#> 1879 1879 -0.0394986589 CCA1-df1
#> 1880 1880 -0.0408845768 CCA1-df1
#> 1881 1881 -0.0422704946 CCA1-df1
#> 1882 1882 -0.0436564125 CCA1-df1
#> 1883 1883 -0.0450423304 CCA1-df1
#> 1884 1884 -0.0464282482 CCA1-df1
#> 1885 1885 -0.0478141661 CCA1-df1
#> 1886 1886 -0.0492000839 CCA1-df1
#> 1887 1887 -0.0505860018 CCA1-df1
#> 1888 1888 -0.0519719197 CCA1-df1
#> 1889 1889 -0.0533578375 CCA1-df1
#> 1890 1890 -0.0547437554 CCA1-df1
#> 1891 1891 -0.0561296732 CCA1-df1
#> 1892 1892 -0.0575155911 CCA1-df1
#> 1893 1893 -0.0589015089 CCA1-df1
#> 1894 1894 -0.0602874268 CCA1-df1
#> 1895 1895 -0.0616733447 CCA1-df1
#> 1896 1896 -0.0630592625 CCA1-df1
#> 1897 1897 -0.0644451804 CCA1-df1
#> 1898 1898 -0.0658310982 CCA1-df1
#> 1899 1899 -0.0672170161 CCA1-df1
#> 1900 1900 -0.0686029339 CCA1-df1
#> 1901 1901 -0.0006929589 CCA1-df1
#> 1902 1902 -0.0020788768 CCA1-df1
#> 1903 1903 -0.0034647946 CCA1-df1
#> 1904 1904 -0.0048507125 CCA1-df1
#> 1905 1905 -0.0062366304 CCA1-df1
#> 1906 1906 -0.0076225482 CCA1-df1
#> 1907 1907 -0.0090084661 CCA1-df1
#> 1908 1908 -0.0103943839 CCA1-df1
#> 1909 1909 -0.0117803018 CCA1-df1
#> 1910 1910 -0.0131662196 CCA1-df1
#> 1911 1911 -0.0145521375 CCA1-df1
#> 1912 1912 -0.0159380554 CCA1-df1
#> 1913 1913 -0.0173239732 CCA1-df1
#> 1914 1914 -0.0187098911 CCA1-df1
#> 1915 1915 -0.0200958089 CCA1-df1
#> 1916 1916 -0.0214817268 CCA1-df1
#> 1917 1917 -0.0228676446 CCA1-df1
#> 1918 1918 -0.0242535625 CCA1-df1
#> 1919 1919 -0.0256394804 CCA1-df1
#> 1920 1920 -0.0270253982 CCA1-df1
#> 1921 1921 -0.0284113161 CCA1-df1
#> 1922 1922 -0.0297972339 CCA1-df1
#> 1923 1923 -0.0311831518 CCA1-df1
#> 1924 1924 -0.0325690696 CCA1-df1
#> 1925 1925 -0.0339549875 CCA1-df1
#> 1926 1926 -0.0353409054 CCA1-df1
#> 1927 1927 -0.0367268232 CCA1-df1
#> 1928 1928 -0.0381127411 CCA1-df1
#> 1929 1929 -0.0394986589 CCA1-df1
#> 1930 1930 -0.0408845768 CCA1-df1
#> 1931 1931 -0.0422704946 CCA1-df1
#> 1932 1932 -0.0436564125 CCA1-df1
#> 1933 1933 -0.0450423304 CCA1-df1
#> 1934 1934 -0.0464282482 CCA1-df1
#> 1935 1935 -0.0478141661 CCA1-df1
#> 1936 1936 -0.0492000839 CCA1-df1
#> 1937 1937 -0.0505860018 CCA1-df1
#> 1938 1938 -0.0519719197 CCA1-df1
#> 1939 1939 -0.0533578375 CCA1-df1
#> 1940 1940 -0.0547437554 CCA1-df1
#> 1941 1941 -0.0561296732 CCA1-df1
#> 1942 1942 -0.0575155911 CCA1-df1
#> 1943 1943 -0.0589015089 CCA1-df1
#> 1944 1944 -0.0602874268 CCA1-df1
#> 1945 1945 -0.0616733447 CCA1-df1
#> 1946 1946 -0.0630592625 CCA1-df1
#> 1947 1947 -0.0644451804 CCA1-df1
#> 1948 1948 -0.0658310982 CCA1-df1
#> 1949 1949 -0.0672170161 CCA1-df1
#> 1950 1950 -0.0686029339 CCA1-df1
#> 1951 1951 -0.0006929589 CCA1-df1
#> 1952 1952 -0.0020788768 CCA1-df1
#> 1953 1953 -0.0034647946 CCA1-df1
#> 1954 1954 -0.0048507125 CCA1-df1
#> 1955 1955 -0.0062366304 CCA1-df1
#> 1956 1956 -0.0076225482 CCA1-df1
#> 1957 1957 -0.0090084661 CCA1-df1
#> 1958 1958 -0.0103943839 CCA1-df1
#> 1959 1959 -0.0117803018 CCA1-df1
#> 1960 1960 -0.0131662196 CCA1-df1
#> 1961 1961 -0.0145521375 CCA1-df1
#> 1962 1962 -0.0159380554 CCA1-df1
#> 1963 1963 -0.0173239732 CCA1-df1
#> 1964 1964 -0.0187098911 CCA1-df1
#> 1965 1965 -0.0200958089 CCA1-df1
#> 1966 1966 -0.0214817268 CCA1-df1
#> 1967 1967 -0.0228676446 CCA1-df1
#> 1968 1968 -0.0242535625 CCA1-df1
#> 1969 1969 -0.0256394804 CCA1-df1
#> 1970 1970 -0.0270253982 CCA1-df1
#> 1971 1971 -0.0284113161 CCA1-df1
#> 1972 1972 -0.0297972339 CCA1-df1
#> 1973 1973 -0.0311831518 CCA1-df1
#> 1974 1974 -0.0325690696 CCA1-df1
#> 1975 1975 -0.0339549875 CCA1-df1
#> 1976 1976 -0.0353409054 CCA1-df1
#> 1977 1977 -0.0367268232 CCA1-df1
#> 1978 1978 -0.0381127411 CCA1-df1
#> 1979 1979 -0.0394986589 CCA1-df1
#> 1980 1980 -0.0408845768 CCA1-df1
#> 1981 1981 -0.0422704946 CCA1-df1
#> 1982 1982 -0.0436564125 CCA1-df1
#> 1983 1983 -0.0450423304 CCA1-df1
#> 1984 1984 -0.0464282482 CCA1-df1
#> 1985 1985 -0.0478141661 CCA1-df1
#> 1986 1986 -0.0492000839 CCA1-df1
#> 1987 1987 -0.0505860018 CCA1-df1
#> 1988 1988 -0.0519719197 CCA1-df1
#> 1989 1989 -0.0533578375 CCA1-df1
#> 1990 1990 -0.0547437554 CCA1-df1
#> 1991 1991 -0.0561296732 CCA1-df1
#> 1992 1992 -0.0575155911 CCA1-df1
#> 1993 1993 -0.0589015089 CCA1-df1
#> 1994 1994 -0.0602874268 CCA1-df1
#> 1995 1995 -0.0616733447 CCA1-df1
#> 1996 1996 -0.0630592625 CCA1-df1
#> 1997 1997 -0.0644451804 CCA1-df1
#> 1998 1998 -0.0658310982 CCA1-df1
#> 1999 1999 -0.0672170161 CCA1-df1
#> 2000 2000 -0.0686029339 CCA1-df1
#> 2001 2001 -0.0006929589 CCA1-df1
#> 2002 2002 -0.0020788768 CCA1-df1
#> 2003 2003 -0.0034647946 CCA1-df1
#> 2004 2004 -0.0048507125 CCA1-df1
#> 2005 2005 -0.0062366304 CCA1-df1
#> 2006 2006 -0.0076225482 CCA1-df1
#> 2007 2007 -0.0090084661 CCA1-df1
#> 2008 2008 -0.0103943839 CCA1-df1
#> 2009 2009 -0.0117803018 CCA1-df1
#> 2010 2010 -0.0131662196 CCA1-df1
#> 2011 2011 -0.0145521375 CCA1-df1
#> 2012 2012 -0.0159380554 CCA1-df1
#> 2013 2013 -0.0173239732 CCA1-df1
#> 2014 2014 -0.0187098911 CCA1-df1
#> 2015 2015 -0.0200958089 CCA1-df1
#> 2016 2016 -0.0214817268 CCA1-df1
#> 2017 2017 -0.0228676446 CCA1-df1
#> 2018 2018 -0.0242535625 CCA1-df1
#> 2019 2019 -0.0256394804 CCA1-df1
#> 2020 2020 -0.0270253982 CCA1-df1
#> 2021 2021 -0.0284113161 CCA1-df1
#> 2022 2022 -0.0297972339 CCA1-df1
#> 2023 2023 -0.0311831518 CCA1-df1
#> 2024 2024 -0.0325690696 CCA1-df1
#> 2025 2025 -0.0339549875 CCA1-df1
#> 2026 2026 -0.0353409054 CCA1-df1
#> 2027 2027 -0.0367268232 CCA1-df1
#> 2028 2028 -0.0381127411 CCA1-df1
#> 2029 2029 -0.0394986589 CCA1-df1
#> 2030 2030 -0.0408845768 CCA1-df1
#> 2031 2031 -0.0422704946 CCA1-df1
#> 2032 2032 -0.0436564125 CCA1-df1
#> 2033 2033 -0.0450423304 CCA1-df1
#> 2034 2034 -0.0464282482 CCA1-df1
#> 2035 2035 -0.0478141661 CCA1-df1
#> 2036 2036 -0.0492000839 CCA1-df1
#> 2037 2037 -0.0505860018 CCA1-df1
#> 2038 2038 -0.0519719197 CCA1-df1
#> 2039 2039 -0.0533578375 CCA1-df1
#> 2040 2040 -0.0547437554 CCA1-df1
#> 2041 2041 -0.0561296732 CCA1-df1
#> 2042 2042 -0.0575155911 CCA1-df1
#> 2043 2043 -0.0589015089 CCA1-df1
#> 2044 2044 -0.0602874268 CCA1-df1
#> 2045 2045 -0.0616733447 CCA1-df1
#> 2046 2046 -0.0630592625 CCA1-df1
#> 2047 2047 -0.0644451804 CCA1-df1
#> 2048 2048 -0.0658310982 CCA1-df1
#> 2049 2049 -0.0672170161 CCA1-df1
#> 2050 2050 -0.0686029339 CCA1-df1
#> 2051 2051 -0.0006929589 CCA1-df1
#> 2052 2052 -0.0020788768 CCA1-df1
#> 2053 2053 -0.0034647946 CCA1-df1
#> 2054 2054 -0.0048507125 CCA1-df1
#> 2055 2055 -0.0062366304 CCA1-df1
#> 2056 2056 -0.0076225482 CCA1-df1
#> 2057 2057 -0.0090084661 CCA1-df1
#> 2058 2058 -0.0103943839 CCA1-df1
#> 2059 2059 -0.0117803018 CCA1-df1
#> 2060 2060 -0.0131662196 CCA1-df1
#> 2061 2061 -0.0145521375 CCA1-df1
#> 2062 2062 -0.0159380554 CCA1-df1
#> 2063 2063 -0.0173239732 CCA1-df1
#> 2064 2064 -0.0187098911 CCA1-df1
#> 2065 2065 -0.0200958089 CCA1-df1
#> 2066 2066 -0.0214817268 CCA1-df1
#> 2067 2067 -0.0228676446 CCA1-df1
#> 2068 2068 -0.0242535625 CCA1-df1
#> 2069 2069 -0.0256394804 CCA1-df1
#> 2070 2070 -0.0270253982 CCA1-df1
#> 2071 2071 -0.0284113161 CCA1-df1
#> 2072 2072 -0.0297972339 CCA1-df1
#> 2073 2073 -0.0311831518 CCA1-df1
#> 2074 2074 -0.0325690696 CCA1-df1
#> 2075 2075 -0.0339549875 CCA1-df1
#> 2076 2076 -0.0353409054 CCA1-df1
#> 2077 2077 -0.0367268232 CCA1-df1
#> 2078 2078 -0.0381127411 CCA1-df1
#> 2079 2079 -0.0394986589 CCA1-df1
#> 2080 2080 -0.0408845768 CCA1-df1
#> 2081 2081 -0.0422704946 CCA1-df1
#> 2082 2082 -0.0436564125 CCA1-df1
#> 2083 2083 -0.0450423304 CCA1-df1
#> 2084 2084 -0.0464282482 CCA1-df1
#> 2085 2085 -0.0478141661 CCA1-df1
#> 2086 2086 -0.0492000839 CCA1-df1
#> 2087 2087 -0.0505860018 CCA1-df1
#> 2088 2088 -0.0519719197 CCA1-df1
#> 2089 2089 -0.0533578375 CCA1-df1
#> 2090 2090 -0.0547437554 CCA1-df1
#> 2091 2091 -0.0561296732 CCA1-df1
#> 2092 2092 -0.0575155911 CCA1-df1
#> 2093 2093 -0.0589015089 CCA1-df1
#> 2094 2094 -0.0602874268 CCA1-df1
#> 2095 2095 -0.0616733447 CCA1-df1
#> 2096 2096 -0.0630592625 CCA1-df1
#> 2097 2097 -0.0644451804 CCA1-df1
#> 2098 2098 -0.0658310982 CCA1-df1
#> 2099 2099 -0.0672170161 CCA1-df1
#> 2100 2100 -0.0686029339 CCA1-df1
#> 2101 2101 -0.0006929589 CCA1-df1
#> 2102 2102 -0.0020788768 CCA1-df1
#> 2103 2103 -0.0034647946 CCA1-df1
#> 2104 2104 -0.0048507125 CCA1-df1
#> 2105 2105 -0.0062366304 CCA1-df1
#> 2106 2106 -0.0076225482 CCA1-df1
#> 2107 2107 -0.0090084661 CCA1-df1
#> 2108 2108 -0.0103943839 CCA1-df1
#> 2109 2109 -0.0117803018 CCA1-df1
#> 2110 2110 -0.0131662196 CCA1-df1
#> 2111 2111 -0.0145521375 CCA1-df1
#> 2112 2112 -0.0159380554 CCA1-df1
#> 2113 2113 -0.0173239732 CCA1-df1
#> 2114 2114 -0.0187098911 CCA1-df1
#> 2115 2115 -0.0200958089 CCA1-df1
#> 2116 2116 -0.0214817268 CCA1-df1
#> 2117 2117 -0.0228676446 CCA1-df1
#> 2118 2118 -0.0242535625 CCA1-df1
#> 2119 2119 -0.0256394804 CCA1-df1
#> 2120 2120 -0.0270253982 CCA1-df1
#> 2121 2121 -0.0284113161 CCA1-df1
#> 2122 2122 -0.0297972339 CCA1-df1
#> 2123 2123 -0.0311831518 CCA1-df1
#> 2124 2124 -0.0325690696 CCA1-df1
#> 2125 2125 -0.0339549875 CCA1-df1
#> 2126 2126 -0.0353409054 CCA1-df1
#> 2127 2127 -0.0367268232 CCA1-df1
#> 2128 2128 -0.0381127411 CCA1-df1
#> 2129 2129 -0.0394986589 CCA1-df1
#> 2130 2130 -0.0408845768 CCA1-df1
#> 2131 2131 -0.0422704946 CCA1-df1
#> 2132 2132 -0.0436564125 CCA1-df1
#> 2133 2133 -0.0450423304 CCA1-df1
#> 2134 2134 -0.0464282482 CCA1-df1
#> 2135 2135 -0.0478141661 CCA1-df1
#> 2136 2136 -0.0492000839 CCA1-df1
#> 2137 2137 -0.0505860018 CCA1-df1
#> 2138 2138 -0.0519719197 CCA1-df1
#> 2139 2139 -0.0533578375 CCA1-df1
#> 2140 2140 -0.0547437554 CCA1-df1
#> 2141 2141 -0.0561296732 CCA1-df1
#> 2142 2142 -0.0575155911 CCA1-df1
#> 2143 2143 -0.0589015089 CCA1-df1
#> 2144 2144 -0.0602874268 CCA1-df1
#> 2145 2145 -0.0616733447 CCA1-df1
#> 2146 2146 -0.0630592625 CCA1-df1
#> 2147 2147 -0.0644451804 CCA1-df1
#> 2148 2148 -0.0658310982 CCA1-df1
#> 2149 2149 -0.0672170161 CCA1-df1
#> 2150 2150 -0.0686029339 CCA1-df1
#> 2151 2151 -0.0006929589 CCA1-df1
#> 2152 2152 -0.0020788768 CCA1-df1
#> 2153 2153 -0.0034647946 CCA1-df1
#> 2154 2154 -0.0048507125 CCA1-df1
#> 2155 2155 -0.0062366304 CCA1-df1
#> 2156 2156 -0.0076225482 CCA1-df1
#> 2157 2157 -0.0090084661 CCA1-df1
#> 2158 2158 -0.0103943839 CCA1-df1
#> 2159 2159 -0.0117803018 CCA1-df1
#> 2160 2160 -0.0131662196 CCA1-df1
#> 2161 2161 -0.0145521375 CCA1-df1
#> 2162 2162 -0.0159380554 CCA1-df1
#> 2163 2163 -0.0173239732 CCA1-df1
#> 2164 2164 -0.0187098911 CCA1-df1
#> 2165 2165 -0.0200958089 CCA1-df1
#> 2166 2166 -0.0214817268 CCA1-df1
#> 2167 2167 -0.0228676446 CCA1-df1
#> 2168 2168 -0.0242535625 CCA1-df1
#> 2169 2169 -0.0256394804 CCA1-df1
#> 2170 2170 -0.0270253982 CCA1-df1
#> 2171 2171 -0.0284113161 CCA1-df1
#> 2172 2172 -0.0297972339 CCA1-df1
#> 2173 2173 -0.0311831518 CCA1-df1
#> 2174 2174 -0.0325690696 CCA1-df1
#> 2175 2175 -0.0339549875 CCA1-df1
#> 2176 2176 -0.0353409054 CCA1-df1
#> 2177 2177 -0.0367268232 CCA1-df1
#> 2178 2178 -0.0381127411 CCA1-df1
#> 2179 2179 -0.0394986589 CCA1-df1
#> 2180 2180 -0.0408845768 CCA1-df1
#> 2181 2181 -0.0422704946 CCA1-df1
#> 2182 2182 -0.0436564125 CCA1-df1
#> 2183 2183 -0.0450423304 CCA1-df1
#> 2184 2184 -0.0464282482 CCA1-df1
#> 2185 2185 -0.0478141661 CCA1-df1
#> 2186 2186 -0.0492000839 CCA1-df1
#> 2187 2187 -0.0505860018 CCA1-df1
#> 2188 2188 -0.0519719197 CCA1-df1
#> 2189 2189 -0.0533578375 CCA1-df1
#> 2190 2190 -0.0547437554 CCA1-df1
#> 2191 2191 -0.0561296732 CCA1-df1
#> 2192 2192 -0.0575155911 CCA1-df1
#> 2193 2193 -0.0589015089 CCA1-df1
#> 2194 2194 -0.0602874268 CCA1-df1
#> 2195 2195 -0.0616733447 CCA1-df1
#> 2196 2196 -0.0630592625 CCA1-df1
#> 2197 2197 -0.0644451804 CCA1-df1
#> 2198 2198 -0.0658310982 CCA1-df1
#> 2199 2199 -0.0672170161 CCA1-df1
#> 2200 2200 -0.0686029339 CCA1-df1
#> 2201 2201 -0.0006929589 CCA1-df1
#> 2202 2202 -0.0020788768 CCA1-df1
#> 2203 2203 -0.0034647946 CCA1-df1
#> 2204 2204 -0.0048507125 CCA1-df1
#> 2205 2205 -0.0062366304 CCA1-df1
#> 2206 2206 -0.0076225482 CCA1-df1
#> 2207 2207 -0.0090084661 CCA1-df1
#> 2208 2208 -0.0103943839 CCA1-df1
#> 2209 2209 -0.0117803018 CCA1-df1
#> 2210 2210 -0.0131662196 CCA1-df1
#> 2211 2211 -0.0145521375 CCA1-df1
#> 2212 2212 -0.0159380554 CCA1-df1
#> 2213 2213 -0.0173239732 CCA1-df1
#> 2214 2214 -0.0187098911 CCA1-df1
#> 2215 2215 -0.0200958089 CCA1-df1
#> 2216 2216 -0.0214817268 CCA1-df1
#> 2217 2217 -0.0228676446 CCA1-df1
#> 2218 2218 -0.0242535625 CCA1-df1
#> 2219 2219 -0.0256394804 CCA1-df1
#> 2220 2220 -0.0270253982 CCA1-df1
#> 2221 2221 -0.0284113161 CCA1-df1
#> 2222 2222 -0.0297972339 CCA1-df1
#> 2223 2223 -0.0311831518 CCA1-df1
#> 2224 2224 -0.0325690696 CCA1-df1
#> 2225 2225 -0.0339549875 CCA1-df1
#> 2226 2226 -0.0353409054 CCA1-df1
#> 2227 2227 -0.0367268232 CCA1-df1
#> 2228 2228 -0.0381127411 CCA1-df1
#> 2229 2229 -0.0394986589 CCA1-df1
#> 2230 2230 -0.0408845768 CCA1-df1
#> 2231 2231 -0.0422704946 CCA1-df1
#> 2232 2232 -0.0436564125 CCA1-df1
#> 2233 2233 -0.0450423304 CCA1-df1
#> 2234 2234 -0.0464282482 CCA1-df1
#> 2235 2235 -0.0478141661 CCA1-df1
#> 2236 2236 -0.0492000839 CCA1-df1
#> 2237 2237 -0.0505860018 CCA1-df1
#> 2238 2238 -0.0519719197 CCA1-df1
#> 2239 2239 -0.0533578375 CCA1-df1
#> 2240 2240 -0.0547437554 CCA1-df1
#> 2241 2241 -0.0561296732 CCA1-df1
#> 2242 2242 -0.0575155911 CCA1-df1
#> 2243 2243 -0.0589015089 CCA1-df1
#> 2244 2244 -0.0602874268 CCA1-df1
#> 2245 2245 -0.0616733447 CCA1-df1
#> 2246 2246 -0.0630592625 CCA1-df1
#> 2247 2247 -0.0644451804 CCA1-df1
#> 2248 2248 -0.0658310982 CCA1-df1
#> 2249 2249 -0.0672170161 CCA1-df1
#> 2250 2250 -0.0686029339 CCA1-df1
#> 2251 2251 -0.0006929589 CCA1-df1
#> 2252 2252 -0.0020788768 CCA1-df1
#> 2253 2253 -0.0034647946 CCA1-df1
#> 2254 2254 -0.0048507125 CCA1-df1
#> 2255 2255 -0.0062366304 CCA1-df1
#> 2256 2256 -0.0076225482 CCA1-df1
#> 2257 2257 -0.0090084661 CCA1-df1
#> 2258 2258 -0.0103943839 CCA1-df1
#> 2259 2259 -0.0117803018 CCA1-df1
#> 2260 2260 -0.0131662196 CCA1-df1
#> 2261 2261 -0.0145521375 CCA1-df1
#> 2262 2262 -0.0159380554 CCA1-df1
#> 2263 2263 -0.0173239732 CCA1-df1
#> 2264 2264 -0.0187098911 CCA1-df1
#> 2265 2265 -0.0200958089 CCA1-df1
#> 2266 2266 -0.0214817268 CCA1-df1
#> 2267 2267 -0.0228676446 CCA1-df1
#> 2268 2268 -0.0242535625 CCA1-df1
#> 2269 2269 -0.0256394804 CCA1-df1
#> 2270 2270 -0.0270253982 CCA1-df1
#> 2271 2271 -0.0284113161 CCA1-df1
#> 2272 2272 -0.0297972339 CCA1-df1
#> 2273 2273 -0.0311831518 CCA1-df1
#> 2274 2274 -0.0325690696 CCA1-df1
#> 2275 2275 -0.0339549875 CCA1-df1
#> 2276 2276 -0.0353409054 CCA1-df1
#> 2277 2277 -0.0367268232 CCA1-df1
#> 2278 2278 -0.0381127411 CCA1-df1
#> 2279 2279 -0.0394986589 CCA1-df1
#> 2280 2280 -0.0408845768 CCA1-df1
#> 2281 2281 -0.0422704946 CCA1-df1
#> 2282 2282 -0.0436564125 CCA1-df1
#> 2283 2283 -0.0450423304 CCA1-df1
#> 2284 2284 -0.0464282482 CCA1-df1
#> 2285 2285 -0.0478141661 CCA1-df1
#> 2286 2286 -0.0492000839 CCA1-df1
#> 2287 2287 -0.0505860018 CCA1-df1
#> 2288 2288 -0.0519719197 CCA1-df1
#> 2289 2289 -0.0533578375 CCA1-df1
#> 2290 2290 -0.0547437554 CCA1-df1
#> 2291 2291 -0.0561296732 CCA1-df1
#> 2292 2292 -0.0575155911 CCA1-df1
#> 2293 2293 -0.0589015089 CCA1-df1
#> 2294 2294 -0.0602874268 CCA1-df1
#> 2295 2295 -0.0616733447 CCA1-df1
#> 2296 2296 -0.0630592625 CCA1-df1
#> 2297 2297 -0.0644451804 CCA1-df1
#> 2298 2298 -0.0658310982 CCA1-df1
#> 2299 2299 -0.0672170161 CCA1-df1
#> 2300 2300 -0.0686029339 CCA1-df1
#> 2301 2301 -0.0006929589 CCA1-df1
#> 2302 2302 -0.0020788768 CCA1-df1
#> 2303 2303 -0.0034647946 CCA1-df1
#> 2304 2304 -0.0048507125 CCA1-df1
#> 2305 2305 -0.0062366304 CCA1-df1
#> 2306 2306 -0.0076225482 CCA1-df1
#> 2307 2307 -0.0090084661 CCA1-df1
#> 2308 2308 -0.0103943839 CCA1-df1
#> 2309 2309 -0.0117803018 CCA1-df1
#> 2310 2310 -0.0131662196 CCA1-df1
#> 2311 2311 -0.0145521375 CCA1-df1
#> 2312 2312 -0.0159380554 CCA1-df1
#> 2313 2313 -0.0173239732 CCA1-df1
#> 2314 2314 -0.0187098911 CCA1-df1
#> 2315 2315 -0.0200958089 CCA1-df1
#> 2316 2316 -0.0214817268 CCA1-df1
#> 2317 2317 -0.0228676446 CCA1-df1
#> 2318 2318 -0.0242535625 CCA1-df1
#> 2319 2319 -0.0256394804 CCA1-df1
#> 2320 2320 -0.0270253982 CCA1-df1
#> 2321 2321 -0.0284113161 CCA1-df1
#> 2322 2322 -0.0297972339 CCA1-df1
#> 2323 2323 -0.0311831518 CCA1-df1
#> 2324 2324 -0.0325690696 CCA1-df1
#> 2325 2325 -0.0339549875 CCA1-df1
#> 2326 2326 -0.0353409054 CCA1-df1
#> 2327 2327 -0.0367268232 CCA1-df1
#> 2328 2328 -0.0381127411 CCA1-df1
#> 2329 2329 -0.0394986589 CCA1-df1
#> 2330 2330 -0.0408845768 CCA1-df1
#> 2331 2331 -0.0422704946 CCA1-df1
#> 2332 2332 -0.0436564125 CCA1-df1
#> 2333 2333 -0.0450423304 CCA1-df1
#> 2334 2334 -0.0464282482 CCA1-df1
#> 2335 2335 -0.0478141661 CCA1-df1
#> 2336 2336 -0.0492000839 CCA1-df1
#> 2337 2337 -0.0505860018 CCA1-df1
#> 2338 2338 -0.0519719197 CCA1-df1
#> 2339 2339 -0.0533578375 CCA1-df1
#> 2340 2340 -0.0547437554 CCA1-df1
#> 2341 2341 -0.0561296732 CCA1-df1
#> 2342 2342 -0.0575155911 CCA1-df1
#> 2343 2343 -0.0589015089 CCA1-df1
#> 2344 2344 -0.0602874268 CCA1-df1
#> 2345 2345 -0.0616733447 CCA1-df1
#> 2346 2346 -0.0630592625 CCA1-df1
#> 2347 2347 -0.0644451804 CCA1-df1
#> 2348 2348 -0.0658310982 CCA1-df1
#> 2349 2349 -0.0672170161 CCA1-df1
#> 2350 2350 -0.0686029339 CCA1-df1
#> 2351 2351 -0.0006929589 CCA1-df1
#> 2352 2352 -0.0020788768 CCA1-df1
#> 2353 2353 -0.0034647946 CCA1-df1
#> 2354 2354 -0.0048507125 CCA1-df1
#> 2355 2355 -0.0062366304 CCA1-df1
#> 2356 2356 -0.0076225482 CCA1-df1
#> 2357 2357 -0.0090084661 CCA1-df1
#> 2358 2358 -0.0103943839 CCA1-df1
#> 2359 2359 -0.0117803018 CCA1-df1
#> 2360 2360 -0.0131662196 CCA1-df1
#> 2361 2361 -0.0145521375 CCA1-df1
#> 2362 2362 -0.0159380554 CCA1-df1
#> 2363 2363 -0.0173239732 CCA1-df1
#> 2364 2364 -0.0187098911 CCA1-df1
#> 2365 2365 -0.0200958089 CCA1-df1
#> 2366 2366 -0.0214817268 CCA1-df1
#> 2367 2367 -0.0228676446 CCA1-df1
#> 2368 2368 -0.0242535625 CCA1-df1
#> 2369 2369 -0.0256394804 CCA1-df1
#> 2370 2370 -0.0270253982 CCA1-df1
#> 2371 2371 -0.0284113161 CCA1-df1
#> 2372 2372 -0.0297972339 CCA1-df1
#> 2373 2373 -0.0311831518 CCA1-df1
#> 2374 2374 -0.0325690696 CCA1-df1
#> 2375 2375 -0.0339549875 CCA1-df1
#> 2376 2376 -0.0353409054 CCA1-df1
#> 2377 2377 -0.0367268232 CCA1-df1
#> 2378 2378 -0.0381127411 CCA1-df1
#> 2379 2379 -0.0394986589 CCA1-df1
#> 2380 2380 -0.0408845768 CCA1-df1
#> 2381 2381 -0.0422704946 CCA1-df1
#> 2382 2382 -0.0436564125 CCA1-df1
#> 2383 2383 -0.0450423304 CCA1-df1
#> 2384 2384 -0.0464282482 CCA1-df1
#> 2385 2385 -0.0478141661 CCA1-df1
#> 2386 2386 -0.0492000839 CCA1-df1
#> 2387 2387 -0.0505860018 CCA1-df1
#> 2388 2388 -0.0519719197 CCA1-df1
#> 2389 2389 -0.0533578375 CCA1-df1
#> 2390 2390 -0.0547437554 CCA1-df1
#> 2391 2391 -0.0561296732 CCA1-df1
#> 2392 2392 -0.0575155911 CCA1-df1
#> 2393 2393 -0.0589015089 CCA1-df1
#> 2394 2394 -0.0602874268 CCA1-df1
#> 2395 2395 -0.0616733447 CCA1-df1
#> 2396 2396 -0.0630592625 CCA1-df1
#> 2397 2397 -0.0644451804 CCA1-df1
#> 2398 2398 -0.0658310982 CCA1-df1
#> 2399 2399 -0.0672170161 CCA1-df1
#> 2400 2400 -0.0686029339 CCA1-df1
#> 2401 2401 -0.0006929589 CCA1-df1
#> 2402 2402 -0.0020788768 CCA1-df1
#> 2403 2403 -0.0034647946 CCA1-df1
#> 2404 2404 -0.0048507125 CCA1-df1
#> 2405 2405 -0.0062366304 CCA1-df1
#> 2406 2406 -0.0076225482 CCA1-df1
#> 2407 2407 -0.0090084661 CCA1-df1
#> 2408 2408 -0.0103943839 CCA1-df1
#> 2409 2409 -0.0117803018 CCA1-df1
#> 2410 2410 -0.0131662196 CCA1-df1
#> 2411 2411 -0.0145521375 CCA1-df1
#> 2412 2412 -0.0159380554 CCA1-df1
#> 2413 2413 -0.0173239732 CCA1-df1
#> 2414 2414 -0.0187098911 CCA1-df1
#> 2415 2415 -0.0200958089 CCA1-df1
#> 2416 2416 -0.0214817268 CCA1-df1
#> 2417 2417 -0.0228676446 CCA1-df1
#> 2418 2418 -0.0242535625 CCA1-df1
#> 2419 2419 -0.0256394804 CCA1-df1
#> 2420 2420 -0.0270253982 CCA1-df1
#> 2421 2421 -0.0284113161 CCA1-df1
#> 2422 2422 -0.0297972339 CCA1-df1
#> 2423 2423 -0.0311831518 CCA1-df1
#> 2424 2424 -0.0325690696 CCA1-df1
#> 2425 2425 -0.0339549875 CCA1-df1
#> 2426 2426 -0.0353409054 CCA1-df1
#> 2427 2427 -0.0367268232 CCA1-df1
#> 2428 2428 -0.0381127411 CCA1-df1
#> 2429 2429 -0.0394986589 CCA1-df1
#> 2430 2430 -0.0408845768 CCA1-df1
#> 2431 2431 -0.0422704946 CCA1-df1
#> 2432 2432 -0.0436564125 CCA1-df1
#> 2433 2433 -0.0450423304 CCA1-df1
#> 2434 2434 -0.0464282482 CCA1-df1
#> 2435 2435 -0.0478141661 CCA1-df1
#> 2436 2436 -0.0492000839 CCA1-df1
#> 2437 2437 -0.0505860018 CCA1-df1
#> 2438 2438 -0.0519719197 CCA1-df1
#> 2439 2439 -0.0533578375 CCA1-df1
#> 2440 2440 -0.0547437554 CCA1-df1
#> 2441 2441 -0.0561296732 CCA1-df1
#> 2442 2442 -0.0575155911 CCA1-df1
#> 2443 2443 -0.0589015089 CCA1-df1
#> 2444 2444 -0.0602874268 CCA1-df1
#> 2445 2445 -0.0616733447 CCA1-df1
#> 2446 2446 -0.0630592625 CCA1-df1
#> 2447 2447 -0.0644451804 CCA1-df1
#> 2448 2448 -0.0658310982 CCA1-df1
#> 2449 2449 -0.0672170161 CCA1-df1
#> 2450 2450 -0.0686029339 CCA1-df1
#> 2451 2451 -0.0006929589 CCA1-df1
#> 2452 2452 -0.0020788768 CCA1-df1
#> 2453 2453 -0.0034647946 CCA1-df1
#> 2454 2454 -0.0048507125 CCA1-df1
#> 2455 2455 -0.0062366304 CCA1-df1
#> 2456 2456 -0.0076225482 CCA1-df1
#> 2457 2457 -0.0090084661 CCA1-df1
#> 2458 2458 -0.0103943839 CCA1-df1
#> 2459 2459 -0.0117803018 CCA1-df1
#> 2460 2460 -0.0131662196 CCA1-df1
#> 2461 2461 -0.0145521375 CCA1-df1
#> 2462 2462 -0.0159380554 CCA1-df1
#> 2463 2463 -0.0173239732 CCA1-df1
#> 2464 2464 -0.0187098911 CCA1-df1
#> 2465 2465 -0.0200958089 CCA1-df1
#> 2466 2466 -0.0214817268 CCA1-df1
#> 2467 2467 -0.0228676446 CCA1-df1
#> 2468 2468 -0.0242535625 CCA1-df1
#> 2469 2469 -0.0256394804 CCA1-df1
#> 2470 2470 -0.0270253982 CCA1-df1
#> 2471 2471 -0.0284113161 CCA1-df1
#> 2472 2472 -0.0297972339 CCA1-df1
#> 2473 2473 -0.0311831518 CCA1-df1
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#> 4300 1800 -0.0686029339 CCA1-df2
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#> 4373 1873 -0.0311831518 CCA1-df2
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#> 4379 1879 -0.0394986589 CCA1-df2
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#> 4381 1881 -0.0422704946 CCA1-df2
#> 4382 1882 -0.0436564125 CCA1-df2
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#> 4388 1888 -0.0519719197 CCA1-df2
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#> 4393 1893 -0.0589015089 CCA1-df2
#> 4394 1894 -0.0602874268 CCA1-df2
#> 4395 1895 -0.0616733447 CCA1-df2
#> 4396 1896 -0.0630592625 CCA1-df2
#> 4397 1897 -0.0644451804 CCA1-df2
#> 4398 1898 -0.0658310982 CCA1-df2
#> 4399 1899 -0.0672170161 CCA1-df2
#> 4400 1900 -0.0686029339 CCA1-df2
#> 4401 1901 -0.0006929589 CCA1-df2
#> 4402 1902 -0.0020788768 CCA1-df2
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#> 4404 1904 -0.0048507125 CCA1-df2
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#> 4408 1908 -0.0103943839 CCA1-df2
#> 4409 1909 -0.0117803018 CCA1-df2
#> 4410 1910 -0.0131662196 CCA1-df2
#> 4411 1911 -0.0145521375 CCA1-df2
#> 4412 1912 -0.0159380554 CCA1-df2
#> 4413 1913 -0.0173239732 CCA1-df2
#> 4414 1914 -0.0187098911 CCA1-df2
#> 4415 1915 -0.0200958089 CCA1-df2
#> 4416 1916 -0.0214817268 CCA1-df2
#> 4417 1917 -0.0228676446 CCA1-df2
#> 4418 1918 -0.0242535625 CCA1-df2
#> 4419 1919 -0.0256394804 CCA1-df2
#> 4420 1920 -0.0270253982 CCA1-df2
#> 4421 1921 -0.0284113161 CCA1-df2
#> 4422 1922 -0.0297972339 CCA1-df2
#> 4423 1923 -0.0311831518 CCA1-df2
#> 4424 1924 -0.0325690696 CCA1-df2
#> 4425 1925 -0.0339549875 CCA1-df2
#> 4426 1926 -0.0353409054 CCA1-df2
#> 4427 1927 -0.0367268232 CCA1-df2
#> 4428 1928 -0.0381127411 CCA1-df2
#> 4429 1929 -0.0394986589 CCA1-df2
#> 4430 1930 -0.0408845768 CCA1-df2
#> 4431 1931 -0.0422704946 CCA1-df2
#> 4432 1932 -0.0436564125 CCA1-df2
#> 4433 1933 -0.0450423304 CCA1-df2
#> 4434 1934 -0.0464282482 CCA1-df2
#> 4435 1935 -0.0478141661 CCA1-df2
#> 4436 1936 -0.0492000839 CCA1-df2
#> 4437 1937 -0.0505860018 CCA1-df2
#> 4438 1938 -0.0519719197 CCA1-df2
#> 4439 1939 -0.0533578375 CCA1-df2
#> 4440 1940 -0.0547437554 CCA1-df2
#> 4441 1941 -0.0561296732 CCA1-df2
#> 4442 1942 -0.0575155911 CCA1-df2
#> 4443 1943 -0.0589015089 CCA1-df2
#> 4444 1944 -0.0602874268 CCA1-df2
#> 4445 1945 -0.0616733447 CCA1-df2
#> 4446 1946 -0.0630592625 CCA1-df2
#> 4447 1947 -0.0644451804 CCA1-df2
#> 4448 1948 -0.0658310982 CCA1-df2
#> 4449 1949 -0.0672170161 CCA1-df2
#> 4450 1950 -0.0686029339 CCA1-df2
#> 4451 1951 -0.0006929589 CCA1-df2
#> 4452 1952 -0.0020788768 CCA1-df2
#> 4453 1953 -0.0034647946 CCA1-df2
#> 4454 1954 -0.0048507125 CCA1-df2
#> 4455 1955 -0.0062366304 CCA1-df2
#> 4456 1956 -0.0076225482 CCA1-df2
#> 4457 1957 -0.0090084661 CCA1-df2
#> 4458 1958 -0.0103943839 CCA1-df2
#> 4459 1959 -0.0117803018 CCA1-df2
#> 4460 1960 -0.0131662196 CCA1-df2
#> 4461 1961 -0.0145521375 CCA1-df2
#> 4462 1962 -0.0159380554 CCA1-df2
#> 4463 1963 -0.0173239732 CCA1-df2
#> 4464 1964 -0.0187098911 CCA1-df2
#> 4465 1965 -0.0200958089 CCA1-df2
#> 4466 1966 -0.0214817268 CCA1-df2
#> 4467 1967 -0.0228676446 CCA1-df2
#> 4468 1968 -0.0242535625 CCA1-df2
#> 4469 1969 -0.0256394804 CCA1-df2
#> 4470 1970 -0.0270253982 CCA1-df2
#> 4471 1971 -0.0284113161 CCA1-df2
#> 4472 1972 -0.0297972339 CCA1-df2
#> 4473 1973 -0.0311831518 CCA1-df2
#> 4474 1974 -0.0325690696 CCA1-df2
#> 4475 1975 -0.0339549875 CCA1-df2
#> 4476 1976 -0.0353409054 CCA1-df2
#> 4477 1977 -0.0367268232 CCA1-df2
#> 4478 1978 -0.0381127411 CCA1-df2
#> 4479 1979 -0.0394986589 CCA1-df2
#> 4480 1980 -0.0408845768 CCA1-df2
#> 4481 1981 -0.0422704946 CCA1-df2
#> 4482 1982 -0.0436564125 CCA1-df2
#> 4483 1983 -0.0450423304 CCA1-df2
#> 4484 1984 -0.0464282482 CCA1-df2
#> 4485 1985 -0.0478141661 CCA1-df2
#> 4486 1986 -0.0492000839 CCA1-df2
#> 4487 1987 -0.0505860018 CCA1-df2
#> 4488 1988 -0.0519719197 CCA1-df2
#> 4489 1989 -0.0533578375 CCA1-df2
#> 4490 1990 -0.0547437554 CCA1-df2
#> 4491 1991 -0.0561296732 CCA1-df2
#> 4492 1992 -0.0575155911 CCA1-df2
#> 4493 1993 -0.0589015089 CCA1-df2
#> 4494 1994 -0.0602874268 CCA1-df2
#> 4495 1995 -0.0616733447 CCA1-df2
#> 4496 1996 -0.0630592625 CCA1-df2
#> 4497 1997 -0.0644451804 CCA1-df2
#> 4498 1998 -0.0658310982 CCA1-df2
#> 4499 1999 -0.0672170161 CCA1-df2
#> 4500 2000 -0.0686029339 CCA1-df2
#> 4501 2001 -0.0006929589 CCA1-df2
#> 4502 2002 -0.0020788768 CCA1-df2
#> 4503 2003 -0.0034647946 CCA1-df2
#> 4504 2004 -0.0048507125 CCA1-df2
#> 4505 2005 -0.0062366304 CCA1-df2
#> 4506 2006 -0.0076225482 CCA1-df2
#> 4507 2007 -0.0090084661 CCA1-df2
#> 4508 2008 -0.0103943839 CCA1-df2
#> 4509 2009 -0.0117803018 CCA1-df2
#> 4510 2010 -0.0131662196 CCA1-df2
#> 4511 2011 -0.0145521375 CCA1-df2
#> 4512 2012 -0.0159380554 CCA1-df2
#> 4513 2013 -0.0173239732 CCA1-df2
#> 4514 2014 -0.0187098911 CCA1-df2
#> 4515 2015 -0.0200958089 CCA1-df2
#> 4516 2016 -0.0214817268 CCA1-df2
#> 4517 2017 -0.0228676446 CCA1-df2
#> 4518 2018 -0.0242535625 CCA1-df2
#> 4519 2019 -0.0256394804 CCA1-df2
#> 4520 2020 -0.0270253982 CCA1-df2
#> 4521 2021 -0.0284113161 CCA1-df2
#> 4522 2022 -0.0297972339 CCA1-df2
#> 4523 2023 -0.0311831518 CCA1-df2
#> 4524 2024 -0.0325690696 CCA1-df2
#> 4525 2025 -0.0339549875 CCA1-df2
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#> 4929 2429 -0.0394986589 CCA1-df2
#> 4930 2430 -0.0408845768 CCA1-df2
#> 4931 2431 -0.0422704946 CCA1-df2
#> 4932 2432 -0.0436564125 CCA1-df2
#> 4933 2433 -0.0450423304 CCA1-df2
#> 4934 2434 -0.0464282482 CCA1-df2
#> 4935 2435 -0.0478141661 CCA1-df2
#> 4936 2436 -0.0492000839 CCA1-df2
#> 4937 2437 -0.0505860018 CCA1-df2
#> 4938 2438 -0.0519719197 CCA1-df2
#> 4939 2439 -0.0533578375 CCA1-df2
#> 4940 2440 -0.0547437554 CCA1-df2
#> 4941 2441 -0.0561296732 CCA1-df2
#> 4942 2442 -0.0575155911 CCA1-df2
#> 4943 2443 -0.0589015089 CCA1-df2
#> 4944 2444 -0.0602874268 CCA1-df2
#> 4945 2445 -0.0616733447 CCA1-df2
#> 4946 2446 -0.0630592625 CCA1-df2
#> 4947 2447 -0.0644451804 CCA1-df2
#> 4948 2448 -0.0658310982 CCA1-df2
#> 4949 2449 -0.0672170161 CCA1-df2
#> 4950 2450 -0.0686029339 CCA1-df2
#> 4951 2451 -0.0006929589 CCA1-df2
#> 4952 2452 -0.0020788768 CCA1-df2
#> 4953 2453 -0.0034647946 CCA1-df2
#> 4954 2454 -0.0048507125 CCA1-df2
#> 4955 2455 -0.0062366304 CCA1-df2
#> 4956 2456 -0.0076225482 CCA1-df2
#> 4957 2457 -0.0090084661 CCA1-df2
#> 4958 2458 -0.0103943839 CCA1-df2
#> 4959 2459 -0.0117803018 CCA1-df2
#> 4960 2460 -0.0131662196 CCA1-df2
#> 4961 2461 -0.0145521375 CCA1-df2
#> 4962 2462 -0.0159380554 CCA1-df2
#> 4963 2463 -0.0173239732 CCA1-df2
#> 4964 2464 -0.0187098911 CCA1-df2
#> 4965 2465 -0.0200958089 CCA1-df2
#> 4966 2466 -0.0214817268 CCA1-df2
#> 4967 2467 -0.0228676446 CCA1-df2
#> 4968 2468 -0.0242535625 CCA1-df2
#> 4969 2469 -0.0256394804 CCA1-df2
#> 4970 2470 -0.0270253982 CCA1-df2
#> 4971 2471 -0.0284113161 CCA1-df2
#> 4972 2472 -0.0297972339 CCA1-df2
#> 4973 2473 -0.0311831518 CCA1-df2
#> 4974 2474 -0.0325690696 CCA1-df2
#> 4975 2475 -0.0339549875 CCA1-df2
#> 4976 2476 -0.0353409054 CCA1-df2
#> 4977 2477 -0.0367268232 CCA1-df2
#> 4978 2478 -0.0381127411 CCA1-df2
#> 4979 2479 -0.0394986589 CCA1-df2
#> 4980 2480 -0.0408845768 CCA1-df2
#> 4981 2481 -0.0422704946 CCA1-df2
#> 4982 2482 -0.0436564125 CCA1-df2
#> 4983 2483 -0.0450423304 CCA1-df2
#> 4984 2484 -0.0464282482 CCA1-df2
#> 4985 2485 -0.0478141661 CCA1-df2
#> 4986 2486 -0.0492000839 CCA1-df2
#> 4987 2487 -0.0505860018 CCA1-df2
#> 4988 2488 -0.0519719197 CCA1-df2
#> 4989 2489 -0.0533578375 CCA1-df2
#> 4990 2490 -0.0547437554 CCA1-df2
#> 4991 2491 -0.0561296732 CCA1-df2
#> 4992 2492 -0.0575155911 CCA1-df2
#> 4993 2493 -0.0589015089 CCA1-df2
#> 4994 2494 -0.0602874268 CCA1-df2
#> 4995 2495 -0.0616733447 CCA1-df2
#> 4996 2496 -0.0630592625 CCA1-df2
#> 4997 2497 -0.0644451804 CCA1-df2
#> 4998 2498 -0.0658310982 CCA1-df2
#> 4999 2499 -0.0672170161 CCA1-df2
#> 5000 2500 -0.0686029339 CCA1-df2
#>
#> $df1
#> # A tibble: 2,500 × 3
#> x y A1
#> <dbl> <dbl> <dbl>
#> 1 0.5 0.5 38
#> 2 1.5 0.5 49
#> 3 2.5 0.5 64
#> 4 3.5 0.5 65
#> 5 4.5 0.5 69
#> 6 5.5 0.5 55
#> 7 6.5 0.5 38
#> 8 7.5 0.5 63
#> 9 8.5 0.5 69
#> 10 9.5 0.5 59
#> # ℹ 2,490 more rows
#>
#> $df2
#> # A tibble: 2,500 × 3
#> x y A1
#> <dbl> <dbl> <dbl>
#> 1 0.5 0.5 41
#> 2 1.5 0.5 26
#> 3 2.5 0.5 35
#> 4 3.5 0.5 31
#> 5 4.5 0.5 24
#> 6 5.5 0.5 26
#> 7 6.5 0.5 26
#> 8 7.5 0.5 19
#> 9 8.5 0.5 11
#> 10 9.5 0.5 9
#> # ℹ 2,490 more rows
#>
#> $call
#> canonical_correlation.data.frame(x1 = df1, x2 = df2)
#>
#> attr(,"class")
#> [1] "cancor"