I have the following tibble
in my global environment:
> print(test, n=100)
# A tibble: 21 x 7
month alpha alpha_mod beta beta_mod gam_ma gam_ma_mod
<dttm> <int> <int> <int> <int> <int> <int>
1 2016-10-31 00:00:00 283 133 260 102 208 64
2 2016-11-30 00:00:00 298 139 278 119 190 67
3 2016-12-31 00:00:00 277 106 249 92 176 62
4 2017-01-31 00:00:00 231 85 242 107 208 86
5 2017-02-28 00:00:00 276 132 301 119 221 78
6 2017-03-31 00:00:00 323 141 349 126 265 76
7 2017-04-30 00:00:00 242 89 249 108 204 67
8 2017-05-31 00:00:00 255 110 309 132 215 67
9 2017-06-30 00:00:00 208 80 256 89 251 90
10 2017-07-31 00:00:00 289 142 280 141 283 128
11 2017-08-31 00:00:00 284 174 326 199 314 155
12 2017-09-30 00:00:00 263 159 276 148 257 106
13 2017-10-31 00:00:00 280 146 299 161 250 125
14 2017-11-30 00:00:00 278 162 322 160 290 132
15 2017-12-31 00:00:00 269 153 235 125 240 125
16 2018-01-31 00:00:00 288 161 281 159 290 143
17 2018-02-28 00:00:00 255 142 256 137 275 132
18 2018-03-31 00:00:00 324 174 293 139 295 159
19 2018-04-30 00:00:00 339 211 356 208 292 159
20 2018-05-31 00:00:00 355 208 307 177 316 158
21 2018-06-30 00:00:00 300 194 279 162 324 191
I use dput
to create a structure
, because I want to include it in a reproducible example:
> dput(test)
structure(list(month = structure(c(1477872000, 1480464000, 1483142400,
1485820800, 1488240000, 1490918400, 1493510400, 1496188800, 1498780800,
1501459200, 1504137600, 1506729600, 1509408000, 1.512e+09, 1514678400,
1517356800, 1519776000, 1522454400, 1525046400, 1527724800, 1530316800
), class = c("POSIXct", "POSIXt"), tzone = "UTC"), alpha = c(283L,
298L, 277L, 231L, 276L, 323L, 242L, 255L, 208L, 289L, 284L, 263L,
280L, 278L, 269L, 288L, 255L, 324L, 339L, 355L, 300L), alpha_mod = c(133L,
139L, 106L, 85L, 132L, 141L, 89L, 110L, 80L, 142L, 174L, 159L,
146L, 162L, 153L, 161L, 142L, 174L, 211L, 208L, 194L), beta = c(260L,
278L, 249L, 242L, 301L, 349L, 249L, 309L, 256L, 280L, 326L, 276L,
299L, 322L, 235L, 281L, 256L, 293L, 356L, 307L, 279L), beta_mod = c(102L,
119L, 92L, 107L, 119L, 126L, 108L, 132L, 89L, 141L, 199L, 148L,
161L, 160L, 125L, 159L, 137L, 139L, 208L, 177L, 162L), gam_ma = c(208L,
190L, 176L, 208L, 221L, 265L, 204L, 215L, 251L, 283L, 314L, 257L,
250L, 290L, 240L, 290L, 275L, 295L, 292L, 316L, 324L), gam_ma_mod = c(64L,
67L, 62L, 86L, 78L, 76L, 67L, 67L, 90L, 128L, 155L, 106L, 125L,
132L, 125L, 143L, 132L, 159L, 159L, 158L, 191L)), row.names = c(NA,
-21L), class = c("tbl_df", "tbl", "data.frame"))
However, when I copy the structure
in RStudio source editor, the formatting is completely messed up:
structure(list(month = structure(c(1477872000, 1480464000, 1483142400,
1485820800, 1488240000, 1490918400, 1493510400, 1496188800, 1498780800,
1501459200, 1504137600, 1506729600, 1509408000, 1.512e+09, 1514678400,
1517356800, 1519776000, 1522454400, 1525046400, 1527724800, 1530316800
), class = c("POSIXct", "POSIXt"), tzone = "UTC"), alpha = c(283L,
298L, 277L, 231L, 276L, 323L, 242L, 255L, 208L, 289L, 284L, 263L,
280L, 278L, 269L, 288L, 255L, 324L, 339L, 355L, 300L), alpha_mod = c(133L,
139L, 106L, 85L, 132L, 141L, 89L, 110L, 80L, 142L, 174L, 159L,
146L, 162L, 153L, 161L, 142L, 174L, 211L, 208L, 194L), beta = c(260L,
278L, 249L, 242L, 301L, 349L, 249L, 309L, 256L, 280L, 326L, 276L,
299L, 322L, 235L, 281L, 256L, 293L, 356L, 307L, 279L), beta_mod = c(102L,
119L, 92L, 107L, 119L, 126L, 108L, 132L, 89L, 141L, 199L, 148L,
161L, 160L, 125L, 159L, 137L, 139L, 208L, 177L, 162L), gam_ma = c(208L,
190L, 176L, 208L, 221L, 265L, 204L, 215L, 251L, 283L, 314L, 257L,
250L, 290L, 240L, 290L, 275L, 295L, 292L, 316L, 324L), gam_ma_mod = c(64L,
67L, 62L, 86L, 78L, 76L, 67L, 67L, 90L, 128L, 155L, 106L, 125L,
132L, 125L, 143L, 132L, 159L, 159L, 158L, 191L)), row.names = c(NA,
-21L), class = c("tbl_df", "tbl", "data.frame"))
#> month alpha alpha_mod beta beta_mod gam_ma gam_ma_mod
#> 1 2016-10-31 283 133 260 102 208 64
#> 2 2016-11-30 298 139 278 119 190 67
#> 3 2016-12-31 277 106 249 92 176 62
#> 4 2017-01-31 231 85 242 107 208 86
#> 5 2017-02-28 276 132 301 119 221 78
#> 6 2017-03-31 323 141 349 126 265 76
#> 7 2017-04-30 242 89 249 108 204 67
#> 8 2017-05-31 255 110 309 132 215 67
#> 9 2017-06-30 208 80 256 89 251 90
#> 10 2017-07-31 289 142 280 141 283 128
#> 11 2017-08-31 284 174 326 199 314 155
#> 12 2017-09-30 263 159 276 148 257 106
#> 13 2017-10-31 280 146 299 161 250 125
#> 14 2017-11-30 278 162 322 160 290 132
#> 15 2017-12-31 269 153 235 125 240 125
#> 16 2018-01-31 288 161 281 159 290 143
#> 17 2018-02-28 255 142 256 137 275 132
#> 18 2018-03-31 324 174 293 139 295 159
#> 19 2018-04-30 339 211 356 208 292 159
#> 20 2018-05-31 355 208 307 177 316 158
#> 21 2018-06-30 300 194 279 162 324 191
Created on 2018-07-12 by the reprex package (v0.2.0).
Why does it happen?