Split data frame by groups and name elements
Value
A named list of tibbles. Each tibble contains the rows of .tbl for the associated group and all the columns, including the grouping variables. Note that this returns a list_of which is slightly stricter than a simple list but is useful for representing lists where every element has the same type.
Details
Function will fail if character string is provided to grouping_variable instead of bare variable name.
See also
Other Utility functions:
%nin%(),
capwords(),
rm_inf_na(),
subset_fns_Zr(),
subset_fns_yi()
Examples
data(euc_data)
data(blue_tit_data)
named_group_split(euc_data, Property)
#> $Barlow
#> # A tibble: 18 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 1 2006-07-24 Winter 2006 1 310042 5934571 nne
#> 2 2 2006-07-24 Winter 2006 2 310087 5934567 ne
#> 3 3 2006-07-24 Winter 2006 3 310240 5934699 se
#> 4 4 2006-07-24 Winter 2006 4 309998 5934968 0
#> 5 5 2006-07-24 Winter 2006 5 309958 5934752 0
#> 6 6 2006-07-24 Winter 2006 6 310137 5934765 0
#> 7 118 2006-11-10 Spring 2006 1 310059 5935151 e
#> 8 119 2006-11-10 Spring 2006 2 310272 5935064 0
#> 9 120 2006-11-10 Spring 2006 3 310195 5935288 n
#> 10 121 2006-11-10 Spring 2006 4 310218 5934982 ne
#> 11 122 2006-11-10 Spring 2006 5 310034 5934700 e
#> 12 123 2006-11-10 Spring 2006 6 309996 5934758 n
#> 13 235 2007-04-19 Autumn 2007 1 310163 5935181 e
#> 14 236 2007-04-19 Autumn 2007 2 310038 5935014 s
#> 15 237 2007-04-19 Autumn 2007 3 310122 5934637 0
#> 16 238 2007-04-19 Autumn 2007 4 310161 5934480 0
#> 17 239 2007-04-19 Autumn 2007 5 310266 5934597 se
#> 18 240 2007-04-19 Autumn 2007 6 310280 5935010 0
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>,
#> # BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, …
#>
#> $Blaber
#> # A tibble: 15 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 7 2006-07-25 Winter 2006 1 386643 5936462 e
#> 2 8 2006-07-25 Winter 2006 2 386736 5936384 e
#> 3 9 2006-07-25 Winter 2006 3 386732 5936315 e
#> 4 10 2006-07-25 Winter 2006 4 386633 5936324 e
#> 5 11 2006-07-25 Winter 2006 5 386896 5936282 e
#> 6 124 2006-11-14 Spring 2006 1 387003 5936393 e
#> 7 125 2006-11-14 Spring 2006 2 386476 5936219 e
#> 8 126 2006-11-14 Spring 2006 3 386827 5936476 e
#> 9 127 2006-11-14 Spring 2006 4 386616 5936267 e
#> 10 128 2006-11-14 Spring 2006 5 386709 5936234 e
#> 11 241 2007-04-17 Autumn 2007 1 386272 5936457 e
#> 12 242 2007-04-17 Autumn 2007 2 387031 5936429 e
#> 13 243 2007-04-17 Autumn 2007 3 386358 5936349 e
#> 14 244 2007-04-17 Autumn 2007 4 386353 5936444 e
#> 15 245 2007-04-17 Autumn 2007 5 386675 5936398 e
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>,
#> # BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, …
#>
#> $DClark
#> # A tibble: 18 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 12 2006-07-19 Winter 2006 1 380890 5959540 se
#> 2 13 2006-07-19 Winter 2006 2 380734 5959474 s
#> 3 14 2006-07-19 Winter 2006 3 381469 5959397 e
#> 4 15 2006-07-19 Winter 2006 4 381024 5959384 s
#> 5 16 2006-07-19 Winter 2006 5 380890 5959591 se
#> 6 17 2006-07-19 Winter 2006 6 381203 5959676 e
#> 7 129 2006-11-14 Spring 2006 1 380818 5959432 nw
#> 8 130 2006-11-14 Spring 2006 2 381282 5959592 s
#> 9 131 2006-11-14 Spring 2006 3 381475 5959610 e
#> 10 132 2006-11-14 Spring 2006 4 381423 5959607 e
#> 11 133 2006-11-14 Spring 2006 5 381170 5959382 s
#> 12 134 2006-11-14 Spring 2006 6 381127 5959717 e
#> 13 246 2007-04-17 Autumn 2007 1 381391 5959468 s
#> 14 247 2007-04-17 Autumn 2007 2 380947 5959427 0
#> 15 248 2007-04-17 Autumn 2007 3 381324 5959557 0
#> 16 249 2007-04-17 Autumn 2007 4 380756 5959400 e
#> 17 250 2007-04-17 Autumn 2007 5 381203 5959726 s
#> 18 251 2007-04-17 Autumn 2007 6 381236 5959842 e
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>,
#> # BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, …
#>
#> $Gough
#> # A tibble: 27 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 18 2006-07-26 Winter 2006 1 358873 5921525 0
#> 2 19 2006-07-26 Winter 2006 2 359203 5921862 0
#> 3 20 2006-07-26 Winter 2006 3 358793 5921874 se
#> 4 21 2006-07-26 Winter 2006 4 358452 5921673 n
#> 5 22 2006-07-26 Winter 2006 5 359497 5922192 s
#> 6 23 2006-07-26 Winter 2006 6 359480 5955191 n
#> 7 24 2006-07-26 Winter 2006 7 359428 5921795 s
#> 8 25 2006-07-26 Winter 2006 8 358742 5921709 s
#> 9 26 2006-07-26 Winter 2006 9 359198 5921949 s
#> 10 135 2006-11-04 Spring 2006 1 358522 5921752 s
#> # ℹ 17 more rows
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, …
#>
#> $Green
#> # A tibble: 12 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 27 2006-07-27 Winter 2006 1 360032 5871750 n
#> 2 28 2006-07-27 Winter 2006 2 359983 5871719 n
#> 3 29 2006-07-27 Winter 2006 3 360061 5871604 e
#> 4 30 2006-07-27 Winter 2006 4 359779 5871566 e
#> 5 144 2006-12-07 Spring 2006 1 359810 5871505 w
#> 6 145 2006-12-07 Spring 2006 2 359692 5871634 n
#> 7 146 2006-12-07 Spring 2006 3 359865 5871733 s
#> 8 147 2006-12-07 Spring 2006 4 359972 5871655 w
#> 9 261 2007-05-09 Autumn 2007 1 359972 5871635 n
#> 10 262 2007-05-09 Autumn 2007 2 359924 5871773 n
#> 11 263 2007-05-09 Autumn 2007 3 359869 5871765 n
#> 12 264 2007-05-09 Autumn 2007 4 359715 5871694 e
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>,
#> # BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, …
#>
#> $Hawkey
#> # A tibble: 12 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 31 2006-07-25 Winter 2006 1 330170 6010619 0
#> 2 32 2006-07-25 Winter 2006 2 330187 6010583 0
#> 3 33 2006-07-25 Winter 2006 3 330110 6010544 0
#> 4 34 2006-07-25 Winter 2006 4 330200 6010497 0
#> 5 148 2006-11-10 Spring 2006 1 330118 6010800 0
#> 6 149 2006-11-10 Spring 2006 2 330540 6010844 0
#> 7 150 2006-11-10 Spring 2006 3 330210 6010800 0
#> 8 151 2006-11-10 Spring 2006 4 330125 6010555 0
#> 9 265 2007-04-18 Autumn 2007 1 330074 6010835 0
#> 10 266 2007-04-18 Autumn 2007 2 330228 6010621 0
#> 11 267 2007-04-18 Autumn 2007 3 330258 6010626 0
#> 12 268 2007-04-18 Autumn 2007 4 330133 6010679 0
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>,
#> # BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, …
#>
#> $JClark
#> # A tibble: 21 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 35 2006-07-26 Winter 2006 1 367739 5821489 sw
#> 2 36 2006-07-26 Winter 2006 2 368058 5872589 w
#> 3 37 2006-07-26 Winter 2006 3 368143 5872626 s
#> 4 38 2006-07-26 Winter 2006 4 368131 5872189 s
#> 5 39 2006-07-26 Winter 2006 5 367696 5872366 nw
#> 6 40 2006-07-26 Winter 2006 6 368650 5872203 w
#> 7 41 2006-07-26 Winter 2006 7 368188 5872013 se
#> 8 152 2006-12-07 Spring 2006 1 367727 5872320 s
#> 9 153 2006-12-07 Spring 2006 2 367851 5872147 nw
#> 10 154 2006-12-07 Spring 2006 3 367744 5871824 w
#> # ℹ 11 more rows
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, …
#>
#> $Kellock
#> # A tibble: 27 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 42 2006-07-26 Winter 2006 1 409176 5987415 n
#> 2 43 2006-07-25 Winter 2006 2 409242 5987228 s
#> 3 44 2006-07-25 Winter 2006 3 408941 5987483 e
#> 4 45 2006-07-26 Winter 2006 4 409111 5987866 s
#> 5 46 2006-07-25 Winter 2006 5 409489 5987803 0
#> 6 47 2006-07-25 Winter 2006 6 408888 5987382 se
#> 7 48 2006-07-25 Winter 2006 7 409174 5987798 s
#> 8 49 2006-07-25 Winter 2006 8 408864 5987984 w
#> 9 50 2006-07-25 Winter 2006 9 409135 5987761 ne
#> 10 159 2006-11-10 Spring 2006 1 408962 5987848 w
#> # ℹ 17 more rows
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, …
#>
#> $Martin
#> # A tibble: 33 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 51 2006-07-20 Winter 2006 1 387782 5968745 e
#> 2 52 2006-07-20 Winter 2006 2 388746 5967248 0
#> 3 53 2006-07-20 Winter 2006 3 388765 5956890 ne
#> 4 54 2006-07-20 Winter 2006 4 388358 5956799 0
#> 5 55 2006-07-20 Winter 2006 5 388477 5956640 0
#> 6 56 2006-07-20 Winter 2006 6 388029 5956943 0
#> 7 57 2006-07-20 Winter 2006 7 388341 5956084 0
#> 8 58 2006-07-20 Winter 2006 8 388423 5956006 se
#> 9 59 2006-07-20 Winter 2006 9 388452 5971319 0
#> 10 60 2006-07-20 Winter 2006 10 388732 5960630 0
#> # ℹ 23 more rows
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, …
#>
#> $McCracken
#> # A tibble: 24 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 62 2006-07-18 Winter 2006 1 358110 5957069 0
#> 2 63 2006-07-18 Winter 2006 2 358317 5957468 0
#> 3 64 2006-07-18 Winter 2006 3 357720 5957153 0
#> 4 65 2006-07-18 Winter 2006 4 358331 5957240 0
#> 5 66 2006-07-18 Winter 2006 5 358632 5957291 0
#> 6 67 2006-07-18 Winter 2006 6 358145 5957383 0
#> 7 68 2006-07-18 Winter 2006 7 358137 5957448 0
#> 8 69 2006-07-18 Winter 2006 8 358289 5956904 0
#> 9 179 2006-11-11 Spring 2006 1 358300 5956890 0
#> 10 180 2006-11-11 Spring 2006 2 358234 5957048 0
#> # ℹ 14 more rows
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, …
#>
#> $Olive
#> # A tibble: 15 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 70 2006-07-27 Winter 2006 1 377590 5876368 0
#> 2 71 2006-07-27 Winter 2006 2 377744 5976421 e
#> 3 72 2006-07-27 Winter 2006 3 377219 5876496 s
#> 4 73 2006-07-27 Winter 2006 4 377015 5876440 e
#> 5 74 2006-07-27 Winter 2006 5 377790 5876366 e
#> 6 187 2006-12-06 Spring 2006 1 377201 5876434 s
#> 7 188 2006-12-06 Spring 2006 2 377301 5876368 s
#> 8 189 2006-12-06 Spring 2006 3 377707 5876436 s
#> 9 190 2006-12-06 Spring 2006 4 377587 5876420 n
#> 10 191 2006-12-06 Spring 2006 5 377862 5876384 0
#> 11 304 2007-05-08 Autumn 2007 1 377394 5876407 n
#> 12 305 2007-05-08 Autumn 2007 2 377181 5876421 n
#> 13 306 2007-05-08 Autumn 2007 3 377259 5876280 e
#> 14 307 2007-05-08 Autumn 2007 4 377951 5876374 e
#> 15 308 2007-05-08 Autumn 2007 5 377623 5876345 0
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>,
#> # BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, …
#>
#> $Rokahr
#> # A tibble: 21 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 75 2006-07-25 Winter 2006 1 387771 5985347 0
#> 2 76 2006-07-25 Winter 2006 2 388366 5985356 0
#> 3 77 2006-07-25 Winter 2006 3 387809 5985141 0
#> 4 78 2006-07-25 Winter 2006 4 387671 5984967 0
#> 5 79 2006-07-25 Winter 2006 5 387695 5985380 0
#> 6 80 2006-07-25 Winter 2006 6 387753 5985068 0
#> 7 81 2006-07-25 Winter 2006 7 388043 5985088 0
#> 8 192 2006-11-10 Spring 2006 1 387721 5985370 0
#> 9 193 2006-11-10 Spring 2006 2 388091 5985252 0
#> 10 194 2006-11-10 Spring 2006 3 387748 5985167 0
#> # ℹ 11 more rows
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, …
#>
#> $Sharrock
#> # A tibble: 12 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 82 2006-07-19 Winter 2006 1 383318 5955469 nw
#> 2 83 2006-07-19 Winter 2006 2 383400 5955169 w
#> 3 84 2006-07-19 Winter 2006 3 383228 5955360 s
#> 4 85 2006-07-19 Winter 2006 4 383368 5955220 w
#> 5 199 2006-11-14 Spring 2006 1 383259 5955400 w
#> 6 200 2006-11-14 Spring 2006 2 383454 5955569 w
#> 7 201 2006-11-14 Spring 2006 3 383340 5955291 nw
#> 8 202 2006-11-14 Spring 2006 4 383247 5955254 nw
#> 9 316 2007-04-17 Autumn 2007 1 383431 5955513 w
#> 10 317 2007-04-17 Autumn 2007 2 383359 5955547 0
#> 11 318 2007-04-17 Autumn 2007 3 383463 5955256 0
#> 12 319 2007-04-17 Autumn 2007 4 383492 5955228 s
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>,
#> # BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, …
#>
#> $Staff
#> # A tibble: 27 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 86 2006-07-27 Winter 2006 1 385708 5939744 nw
#> 2 87 2006-07-27 Winter 2006 2 386193 5939749 s
#> 3 88 2006-07-27 Winter 2006 3 385599 5939313 0
#> 4 89 2006-07-27 Winter 2006 4 385701 5939171 sw
#> 5 90 2006-07-27 Winter 2006 5 386179 5939590 n
#> 6 91 2006-07-27 Winter 2006 6 386037 5939836 n
#> 7 92 2006-07-27 Winter 2006 7 385604 5939140 e
#> 8 93 2006-07-27 Winter 2006 8 385700 5939655 s
#> 9 94 2006-07-27 Winter 2006 9 385991 5939583 n
#> 10 203 2006-11-15 Spring 2006 1 386235 5939864 nw
#> # ℹ 17 more rows
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, …
#>
#> $Stoney
#> # A tibble: 21 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 95 2006-07-27 Winter 2006 1 410529 5895093 e
#> 2 96 2006-07-27 Winter 2006 2 410683 5895072 e
#> 3 97 2006-07-27 Winter 2006 3 410440 5895054 ne
#> 4 98 2006-07-27 Winter 2006 4 410545 5895038 e
#> 5 99 2006-07-27 Winter 2006 5 410374 5895094 se
#> 6 100 2006-07-27 Winter 2006 6 410210 5895023 e
#> 7 101 2006-07-27 Winter 2006 7 410284 5895820 ne
#> 8 212 2006-12-08 Spring 2006 1 410616 5899138 e
#> 9 213 2006-12-08 Spring 2006 2 410623 5899408 e
#> 10 214 2006-12-08 Spring 2006 3 410572 5898758 e
#> # ℹ 11 more rows
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, …
#>
#> $Taylor
#> # A tibble: 15 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 102 2006-07-24 Winter 2006 1 389720 5954557 0
#> 2 103 2006-07-24 Winter 2006 2 378805 5954456 0
#> 3 104 2006-07-24 Winter 2006 3 389669 5954833 0
#> 4 105 2006-07-24 Winter 2006 4 389746 5954624 0
#> 5 106 2006-07-24 Winter 2006 5 389635 5954910 0
#> 6 219 2006-10-14 Spring 2006 1 389718 5954830 0
#> 7 220 2006-10-14 Spring 2006 2 389698 5954770 0
#> 8 221 2006-10-14 Spring 2006 3 389775 5954594 0
#> 9 222 2006-10-14 Spring 2006 4 389817 5954875 0
#> 10 223 2006-10-14 Spring 2006 5 389750 5954882 0
#> 11 336 2007-04-16 Autumn 2007 4 389851 5954634 0
#> 12 337 2007-04-16 Autumn 2007 1 389643 5954703 0
#> 13 338 2007-04-16 Autumn 2007 2 389653 5954793 0
#> 14 339 2007-04-16 Autumn 2007 3 389607 5954928 0
#> 15 340 2007-04-16 Autumn 2007 5 389854 5954441 0
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>,
#> # BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, …
#>
#> $Wakefield
#> # A tibble: 12 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 107 2006-07-27 Winter 2006 1 348307 5874042 nw
#> 2 108 2006-07-27 Winter 2006 2 348206 5874084 s
#> 3 109 2006-07-27 Winter 2006 3 348532 5874001 nw
#> 4 110 2006-07-27 Winter 2006 4 348165 5874028 s
#> 5 224 2006-12-07 Spring 2006 1 348305 5873844 s
#> 6 225 2006-12-07 Spring 2006 2 348562 5874018 n
#> 7 226 2006-12-07 Spring 2006 3 348253 5879750 s
#> 8 227 2006-12-07 Spring 2006 4 348391 5873773 s
#> 9 341 2007-05-09 Autumn 2007 1 348451 5873910 se
#> 10 342 2007-05-09 Autumn 2007 2 348442 5873883 s
#> 11 343 2007-05-09 Autumn 2007 3 348251 5873900 0
#> 12 344 2007-05-09 Autumn 2007 4 348188 5873921 s
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>,
#> # BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, …
#>
#> $Yorston
#> # A tibble: 21 × 42
#> SurveyID Date Season `Quadrat no` Easting Northing Aspect
#> <fct> <date> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 111 2006-07-26 Winter 2006 1 359010 5894495 nw
#> 2 112 2006-07-26 Winter 2006 2 359018 5894606 nw
#> 3 113 2006-07-26 Winter 2006 3 358205 5895793 s
#> 4 114 2006-07-26 Winter 2006 4 358932 5894600 nw
#> 5 115 2006-07-26 Winter 2006 5 358861 5894634 w
#> 6 116 2006-07-26 Winter 2006 6 358074 5895284 s
#> 7 117 2006-07-26 Winter 2006 7 357961 5895704 ne
#> 8 228 2006-11-17 Spring 2006 1 358010 5895886 w
#> 9 229 2006-11-17 Spring 2006 2 358179 5895876 w
#> 10 230 2006-11-17 Spring 2006 3 358917 5894850 w
#> # ℹ 11 more rows
#> # ℹ 35 more variables: `Landscape position` <chr>,
#> # ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>,
#> # ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>,
#> # ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>,
#> # NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>,
#> # NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, …
#>
named_group_split(blue_tit_data, hatch_Area)
#> $B
#> # A tibble: 726 × 41
#> chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring
#> <chr> <dbl> <dbl> <chr> <chr>
#> 1 P804103 2001 201123 B100 .
#> 2 P804104 2001 201123 B100 .
#> 3 P804106 2001 201123 B100 .
#> 4 P804107 2001 201123 B100 .
#> 5 P804108 2001 201123 B100 .
#> 6 P804110 2001 201123 B100 .
#> 7 P804112 2001 201123 B100 .
#> 8 P804115 2001 201123 B100 .
#> 9 P804117 2001 201123 B100 .
#> 10 P804118 2001 201123 B100 .
#> # ℹ 716 more rows
#> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>,
#> # `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>,
#> # hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>,
#> # d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>,
#> # rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>,
#> # rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, …
#>
#> $C
#> # A tibble: 577 × 41
#> chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring
#> <chr> <dbl> <dbl> <chr> <chr>
#> 1 P804016 2001 201194 C130 P803008
#> 2 P804017 2001 201194 C130 P803008
#> 3 P804018 2001 201167 C26 P803005
#> 4 P804019 2001 201194 C130 P803008
#> 5 P804020 2001 201167 C26 P803005
#> 6 P804021 2001 201194 C130 P803008
#> 7 P804022 2001 201194 C130 P803008
#> 8 P804023 2001 201194 C130 P803008
#> 9 P804024 2001 201167 C26 P803005
#> 10 P804025 2001 201194 C130 P803008
#> # ℹ 567 more rows
#> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>,
#> # `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>,
#> # hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>,
#> # d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>,
#> # rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>,
#> # rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, …
#>
#> $CP
#> # A tibble: 229 × 41
#> chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring
#> <chr> <dbl> <dbl> <chr> <chr>
#> 1 P804196 2001 201225 CP40A P803102
#> 2 P804197 2001 201225 CP40A P803102
#> 3 P804198 2001 201225 CP40A P803102
#> 4 P804199 2001 201225 CP40A P803102
#> 5 P804456 2001 201225 CP40A P803102
#> 6 P804457 2001 201225 CP40A P803102
#> 7 P804458 2001 201225 CP40A P803102
#> 8 P804459 2001 201225 CP40A P803102
#> 9 P804463 2001 201225 CP40A P803102
#> 10 P804464 2001 201225 CP40A P803102
#> # ℹ 219 more rows
#> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>,
#> # `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>,
#> # hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>,
#> # d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>,
#> # rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>,
#> # rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, …
#>
#> $E
#> # A tibble: 333 × 41
#> chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring
#> <chr> <dbl> <dbl> <chr> <chr>
#> 1 P804180 2001 201260 E51B P803087
#> 2 P804186 2001 201260 E51B P803087
#> 3 P804189 2001 201260 E51B P803087
#> 4 P804190 2001 201260 E51B P803087
#> 5 P804192 2001 201260 E51B P803087
#> 6 P804548 2001 201227 E3 K578406
#> 7 P804549 2001 201227 E3 K578406
#> 8 P804550 2001 201227 E3 K578406
#> 9 P804552 2001 201227 E3 K578406
#> 10 P804553 2001 201227 E3 K578406
#> # ℹ 323 more rows
#> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>,
#> # `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>,
#> # hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>,
#> # d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>,
#> # rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>,
#> # rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, …
#>
#> $MP
#> # A tibble: 375 × 41
#> chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring
#> <chr> <dbl> <dbl> <chr> <chr>
#> 1 P804101 2001 201288 MP55 P803016
#> 2 P804102 2001 201288 MP55 P803016
#> 3 P804105 2001 201288 MP55 P803016
#> 4 P804109 2001 201288 MP55 P803016
#> 5 P804111 2001 201288 MP55 P803016
#> 6 P804113 2001 201288 MP55 P803016
#> 7 P804114 2001 201288 MP55 P803016
#> 8 P804116 2001 201288 MP55 P803016
#> 9 P804119 2001 201288 MP55 P803016
#> 10 P804121 2001 201288 MP55 P803016
#> # ℹ 365 more rows
#> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>,
#> # `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>,
#> # hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>,
#> # d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>,
#> # rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>,
#> # rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, …
#>
#> $O
#> # A tibble: 600 × 41
#> chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring
#> <chr> <dbl> <dbl> <chr> <chr>
#> 1 P804142 2001 201319 O27 P803035
#> 2 P804143 2001 201319 O27 P803035
#> 3 P804144 2001 201319 O27 P803035
#> 4 P804145 2001 201319 O27 P803035
#> 5 P804146 2001 201319 O27 P803035
#> 6 P804181 2001 201325 O38B .
#> 7 P804183 2001 201325 O38B .
#> 8 P804184 2001 201325 O38B .
#> 9 P804185 2001 201325 O38B .
#> 10 P804187 2001 201325 O38B .
#> # ℹ 590 more rows
#> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>,
#> # `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>,
#> # hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>,
#> # d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>,
#> # rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>,
#> # rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, …
#>
#> $P
#> # A tibble: 91 × 41
#> chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring
#> <chr> <dbl> <dbl> <chr> <chr>
#> 1 P805234 2001 201364 P24 P803249
#> 2 P805235 2001 201364 P24 P803249
#> 3 P805236 2001 201364 P24 P803249
#> 4 P805240 2001 201364 P24 P803249
#> 5 P805241 2001 201364 P24 P803249
#> 6 P805242 2001 201364 P24 P803249
#> 7 P805875 2001 201360 P10 P803358
#> 8 P805876 2001 201360 P10 P803358
#> 9 P805878 2001 201360 P10 P803358
#> 10 P805910 2001 201357 P3 P803362
#> # ℹ 81 more rows
#> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>,
#> # `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>,
#> # hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>,
#> # d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>,
#> # rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>,
#> # rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, …
#>
#> $SW
#> # A tibble: 405 × 41
#> chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring
#> <chr> <dbl> <dbl> <chr> <chr>
#> 1 P804149 2001 201393 SW113 P803040
#> 2 P804151 2001 201393 SW113 P803040
#> 3 P804152 2001 201393 SW113 P803040
#> 4 P804257 2001 201397 SW128 P803048
#> 5 P804258 2001 201397 SW128 P803048
#> 6 P804259 2001 201397 SW128 P803048
#> 7 P804260 2001 201397 SW128 P803048
#> 8 P804261 2001 201397 SW128 P803048
#> 9 P804262 2001 201397 SW128 P803048
#> 10 P804263 2001 201397 SW128 P803048
#> # ℹ 395 more rows
#> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>,
#> # `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>,
#> # hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>,
#> # d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>,
#> # rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>,
#> # rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, …
#>
#> $W
#> # A tibble: 384 × 41
#> chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring
#> <chr> <dbl> <dbl> <chr> <chr>
#> 1 P804042 2001 201419 W47 .
#> 2 P804043 2001 201417 W43 P803018
#> 3 P804044 2001 201417 W43 P803018
#> 4 P804045 2001 201417 W43 P803018
#> 5 P804046 2001 201419 W47 .
#> 6 P804047 2001 201419 W47 .
#> 7 P804048 2001 201419 W47 .
#> 8 P804178 2001 201414 W37 P803056
#> 9 P804179 2001 201414 W37 P803056
#> 10 P804193 2001 201428 W60 P803080
#> # ℹ 374 more rows
#> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>,
#> # `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>,
#> # hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>,
#> # d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>,
#> # rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>,
#> # rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, …
#>