degroup() for cross-classified data

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: datawizard
 Title: Easy Data Wrangling and Statistical Transformations
-Version: 0.11.0.4
+Version: 0.11.0.5
 Authors@R: c(
     person("Indrajeet", "Patil", , "[email protected]", role = "aut",
            comment = c(ORCID = "0000-0003-1995-6531", Twitter = "@patilindrajeets")),

NEWS.md

@@ -21,6 +21,10 @@ CHANGES
   frame, where the first column contains name of the variable for which
   frequencies were calculated, and the second column contains the frequency table.
 
+* `demean()` (and `degroup()`) now also work for cross-classified designs, or
+  more generally, for data with multiple grouping or cluster variables (i.e.
+  `by` can now specify more than one variable).
+
 # datawizard 0.11.0
 
 BREAKING CHANGES

inst/WORDLIST

@@ -6,6 +6,8 @@ CMD
 Carle
 Catran
 Crosstables
+Dhaliwal
+Disaggregating
 DOI
 De
 Dom
@@ -16,6 +18,7 @@ GLMM
 Gelman
 Giesecke
 Giesselmann
+Guo
 Heisig
 Herrington
 Hoffmann
@@ -79,6 +82,7 @@ midhinge
 modelbased
 modelling
 nd
+panelr
 partialization
 patilindrajeets
 platykurtic

tests/testthat/test-center.R

@@ -169,8 +169,7 @@ test_that("center, factors (grouped data)", {
     poorman::ungroup() %>%
     poorman::pull(Species)
 
-  manual <- iris %>%
-    poorman::pull(Species)
+  manual <- poorman::pull(iris, Species)
 
   expect_identical(datawizard, manual)
 })