styler, update dic

R/describe_missing.R

@@ -65,9 +65,6 @@
 #'
 #' # One can list the scale names directly:
 #' describe_missing(df, scales = c("ID", "open", "extrovert", "agreeable"))
-
-
-
 describe_missing <- function(data, vars = NULL, scales = NULL) {
   classes <- lapply(data, class)
   if (missing(vars) & missing(scales)) {
@@ -104,7 +101,7 @@ describe_missing <- function(data, vars = NULL, scales = NULL) {
   na_max <- max(rowSums(is.na(data)))
   na_max_percent <- round(na_max / items * 100, 2)
   all_na <- sum(apply(data, 1, function(x) all(is.na(x))))
-  
+
   data.frame(
     var = var,
     items = items,

inst/WORDLIST

@@ -8,14 +8,13 @@ CMD
 Carle
 Catran
 Crosstables
-Dhaliwal
-Disaggregating
 DOI
 De
-Dom
+Dhaliwal
+Disaggregating
 EFC
-Enders
 EUROFAMCARE
+Enders
 Fairbrother
 GLMM
 Gelman
@@ -54,7 +53,6 @@ Winsorizing
 al
 behaviour
 behaviours
-bmwiernik
 codebook
 codebooks
 coercible
@@ -77,7 +75,6 @@ joss
 labelled
 labelling
 leptokurtic
-lifecycle
 lm
 lme
 meaned
@@ -88,7 +85,6 @@ modelling
 nd
 panelr
 partialization
-patilindrajeets
 platykurtic
 poorman
 pre
@@ -102,7 +98,6 @@ recodes
 recoding
 recodings
 relevel
-rempsyc
 reproducibility
 rescale
 rescaled
@@ -111,7 +106,8 @@ rio
 rowid
 sd
 stackexchange
-strengejacke
+subscale
+subscales
 tailedness
 th
 tibble

pkgdown/_pkgdown.yaml

@@ -66,6 +66,7 @@ reference:
       - data_tabulate
       - data_peek
       - data_seek
+      - describe_missing
       - means_by_group
       - contains("distribution")
       - kurtosis