Im currently trying to calculate change in amount of SWE for multiple sites (50) so as to attain snow melt rates (change per day). I think I have the right formula but trying to loop it doesn't seem to be working, my code and error below.
site <- colnames(winter_pr_swe[,55:104])
for (i in site){
sitex <- paste0(i)
ratex <- paste0('rate',i)
winter_pr_swe1 <- winter_pr_swe %>% mutate(ratex = (sitex - lag(sitex))
}
Error: unexpected '}' in: "winter_pr_swe1 <- winter_pr_swe %>% %>% mutate(ratex = (sitex - lag(sitex))
}"
Here is the head of the data set for reference, each column being the SWE levels for a single site, each row being a days measurement:
head(winter_pr_swe[,55:104])
X303 X308 X310 X316 X327 X337 X340 X378 X386 X409 X416 X426
1 157 71 234 287 361 163 86 292 241 348 109 183
2 157 150 272 333 384 165 102 300 302 409 130 185
3 157 150 274 340 396 168 107 310 312 419 130 190
4 157 150 274 343 406 168 157 315 312 419 122 190
5 157 147 274 351 409 168 193 318 318 434 107 190
6 165 140 274 351 427 168 193 335 318 434 107 234
X431 X465 X486 X488 X491 X511 X519 X527 X532 X538 X580 X586
1 592 178 69 53 292 427 64 137 450 175 312 246
2 658 208 97 122 340 490 155 137 508 190 340 282
3 668 218 97 124 351 490 157 137 513 203 343 300
4 676 218 94 124 351 490 157 152 521 203 343 302
5 696 224 86 119 351 490 152 160 531 213 353 323
6 726 226 79 109 351 485 145 168 549 218 368 333
X589 X595 X617 X622 X624 X629 X632 X640 X665 X705 X715 X737
1 310 41 351 300 315 206 358 66 46 358 157 478
2 338 43 406 320 330 231 391 155 48 483 170 511
3 353 33 406 328 338 241 396 155 48 485 180 521
4 356 30 406 330 338 241 399 155 48 485 183 523
5 363 25 401 333 353 267 427 155 56 485 183 556
6 368 15 401 345 376 267 460 145 56 485 198 599
X739 X755 X757 X762 X780 X827 X839 X840 X843 X857 X861 X866
1 168 201 274 254 462 356 74 526 183 180 58 112
2 196 244 310 257 533 363 74 584 224 196 145 160
3 201 249 315 267 549 376 74 589 226 196 145 175
4 206 251 318 267 551 376 74 592 229 196 145 160
5 226 249 320 282 587 376 91 620 239 201 142 155
6 226 249 320 282 599 417 91 648 241 201 119 145
X874 X877
1 615 23
2 671 152
3 678 155
4 681 155
5 709 140
6 752 140