From 714c0180fb44df47c48ccf9033b172708425b238 Mon Sep 17 00:00:00 2001 From: DavisVaughan Date: Mon, 17 Jul 2023 13:03:29 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20tidyvers?= =?UTF-8?q?e/dplyr@31256972b912a63138dbc564a4ba412ac0b35e99=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- dev/articles/base.html | 54 ++++++++--------- dev/pkgdown.yml | 2 +- dev/reference/between.html | 27 ++++----- dev/reference/c_across.html | 12 ++-- dev/reference/coalesce.html | 2 +- dev/reference/context.html | 36 ++++++------ dev/reference/distinct.html | 98 +++++++++++++++---------------- dev/reference/filter_all.html | 4 +- dev/reference/funs.html | 8 +-- dev/reference/if_else.html | 4 +- dev/reference/lead-lag.html | 8 +-- dev/reference/new_grouped_df.html | 10 ++-- dev/reference/order_by.html | 12 ++-- dev/reference/recode.html | 16 ++--- dev/reference/rowwise.html | 76 ++++++++++++------------ dev/reference/sample_n.html | 94 ++++++++++++++--------------- dev/reference/slice.html | 58 +++++++++--------- dev/reference/with_groups.html | 28 ++++----- dev/search.json | 2 +- 19 files changed, 275 insertions(+), 276 deletions(-) diff --git a/dev/articles/base.html b/dev/articles/base.html index d073d651b8..d5ac830d96 100644 --- a/dev/articles/base.html +++ b/dev/articles/base.html @@ -302,19 +302,19 @@

#> # A tibble: 10 × 1 #> x #> <int> -#> 1 2 -#> 2 7 -#> 3 6 -#> 4 9 +#> 1 4 +#> 2 10 +#> 3 5 +#> 4 2 #> # ℹ 6 more rows df %>% distinct(x, .keep_all = TRUE) # whole data frame #> # A tibble: 10 × 2 #> x y #> <int> <int> -#> 1 2 4 -#> 2 7 1 -#> 3 6 2 -#> 4 9 5 +#> 1 4 10 +#> 2 10 1 +#> 3 5 7 +#> 4 2 7 #> # ℹ 6 more rows

There are two equivalents in base R, depending on whether you want the whole data frame, or just selected variables:

@@ -323,19 +323,19 @@

#> # A tibble: 10 × 1 #> x #> <int> -#> 1 2 -#> 2 7 -#> 3 6 -#> 4 9 +#> 1 4 +#> 2 10 +#> 3 5 +#> 4 2 #> # ℹ 6 more rows df[!duplicated(df$x), , drop = FALSE] # whole data frame #> # A tibble: 10 × 2 #> x y #> <int> <int> -#> 1 2 4 -#> 2 7 1 -#> 3 6 2 -#> 4 9 5 +#> 1 4 10 +#> 2 10 1 +#> 3 5 7 +#> 4 2 7 #> # ℹ 6 more rows
@@ -450,22 +450,22 @@

#> # A tibble: 100 × 4 #> x y z z2 #> <int> <int> <int> <dbl> -#> 1 2 4 6 36 -#> 2 2 5 7 49 -#> 3 7 1 8 64 -#> 4 6 2 8 64 +#> 1 4 10 14 196 +#> 2 10 1 11 121 +#> 3 4 7 11 121 +#> 4 5 7 12 144 #> # ℹ 96 more rows

The closest base equivalent is transform(), but note that it cannot use freshly created variables:

 head(transform(df, z = x + y, z2 = (x + y) ^ 2))
-#>   x y  z  z2
-#> 1 2 4  6  36
-#> 2 2 5  7  49
-#> 3 7 1  8  64
-#> 4 6 2  8  64
-#> 5 9 5 14 196
-#> 6 1 3  4  16
+#> x y z z2 +#> 1 4 10 14 196 +#> 2 10 1 11 121 +#> 3 4 7 11 121 +#> 4 5 7 12 144 +#> 5 2 7 9 81 +#> 6 4 1 5 25

Alternatively, you can use $<-:

 mtcars$cyl2 <- mtcars$cyl * 2
diff --git a/dev/pkgdown.yml b/dev/pkgdown.yml
index 50786aa07e..b792bb759b 100644
--- a/dev/pkgdown.yml
+++ b/dev/pkgdown.yml
@@ -11,7 +11,7 @@ articles:
   rowwise: rowwise.html
   two-table: two-table.html
   window-functions: window-functions.html
-last_built: 2023-07-17T12:51Z
+last_built: 2023-07-17T13:00Z
 urls:
   reference: https://dplyr.tidyverse.org/reference
   article: https://dplyr.tidyverse.org/articles
diff --git a/dev/reference/between.html b/dev/reference/between.html
index 237862f258..3f6a175a0b 100644
--- a/dev/reference/between.html
+++ b/dev/reference/between.html
@@ -123,20 +123,19 @@ 
Examples
 x <- rnorm(1e2)
 x[between(x, -1, 1)]
-#>  [1] -0.997901858  0.151963233 -0.613119779 -0.233243460  0.010437230
-#>  [6] -0.147162161  0.483088506  0.672757420  0.938598662 -0.232987814
-#> [11]  0.883566131 -0.884747852 -0.295142437  0.077568159  0.519344753
-#> [16]  0.586771019  0.981746283 -0.802555768  0.752585223  0.057521369
-#> [21]  0.312333565 -0.304058183  0.773742716  0.757750635 -0.765292484
-#> [26] -0.619308319 -0.771447323 -0.917010017  0.333128524  0.070294252
-#> [31]  0.390099416  0.018777499  0.341366274  0.494122898  0.800388745
-#> [36] -0.617577183  0.724156934  0.056901328 -0.234051896 -0.533314082
-#> [41] -0.011067522 -0.237537524 -0.520161662 -0.249783242 -0.359393787
-#> [46] -0.046181520  0.476105627 -0.700975880 -0.699405567 -0.088816795
-#> [51] -0.052372116  0.471076920 -0.922302164 -0.199187010  0.601520784
-#> [56] -0.259475300 -0.004321027 -0.938120838 -0.289731998 -0.792202557
-#> [61] -0.845411682  0.137943746  0.343317458 -0.725513082  0.866465925
-#> [66] -0.509374659  0.057096125
+#>  [1] -0.60808547 -0.16975288  0.93539126  0.23290799  0.89357926
+#>  [6]  0.36572974  0.47915326 -0.88983093  0.92462736 -0.75844814
+#> [11] -0.52449415  0.40610725 -0.55895398  0.77763768 -0.29656653
+#> [16]  0.41928729  0.78068678 -0.53089506 -0.58587413 -0.68030891
+#> [21]  0.13750964 -0.62538775 -0.20204705  0.75136501  0.32610201
+#> [26] -0.30158219 -0.28806047 -0.04343567  0.18599776  0.44665437
+#> [31]  0.75107301 -0.77167461 -0.28240844  0.23812269  0.41701085
+#> [36]  0.26621692 -0.71607772  0.74570842 -0.02541174 -0.36182084
+#> [41] -0.59653210  0.72588736 -0.46775228  0.22018887 -0.16892473
+#> [46]  0.27912378  0.10153643 -0.97818406 -0.91138838 -0.10228255
+#> [51] -0.30728561  0.48293380 -0.58362545  0.13658472  0.28885586
+#> [56]  0.59015841  0.26430617  0.68648918 -0.03878521 -0.32660243
+#> [61]  0.06325003 -0.70755327  0.67537073  0.31450245
 
 # On a tibble using `filter()`
 filter(starwars, between(height, 100, 150))
diff --git a/dev/reference/c_across.html b/dev/reference/c_across.html
index 070fca89bf..0765525648 100644
--- a/dev/reference/c_across.html
+++ b/dev/reference/c_across.html
@@ -123,12 +123,12 @@ 
Examples  )
 #> # A tibble: 4 × 7
 #> # Rowwise: 
-#>      id     w      x     y     z   sum    sd
-#>   <int> <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl>
-#> 1     1 0.778 0.0754 0.409 0.731  1.99 0.326
-#> 2     2 0.335 0.504  0.342 0.725  1.91 0.183
-#> 3     3 0.494 0.217  0.442 0.893  2.05 0.281
-#> 4     4 0.302 0.922  0.275 0.419  1.92 0.301
+#>      id     w     x     y     z   sum    sd
+#>   <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
+#> 1     1 0.333 0.953 0.535 0.787  2.61 0.273
+#> 2     2 0.542 0.415 0.292 0.994  2.24 0.306
+#> 3     3 0.988 0.124 0.992 0.243  2.35 0.468
+#> 4     4 0.797 0.829 0.587 0.336  2.55 0.228