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test(#30488): skip polycor cases when unavailable
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tests/testthat/test_stats_wrapper.R

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@@ -121,6 +121,8 @@ test_that("do_cor should skip group with only one row.", {
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})
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test_that("do_cor with polychoric method", {
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skip_if_not_installed("polycor")
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# Polychoric correlation is for ordinal variables. The latent variables behind x and y
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# are correlated at 0.7, while z is independent of them.
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set.seed(123)
@@ -168,6 +170,8 @@ test_that("do_cor supports automatic and mixed correlations with factor inputs",
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})
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test_that("do_cor with polychoric method handles a constant column without error", {
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skip_if_not_installed("polycor")
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set.seed(123)
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n <- 100
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cut5 <- function(z) as.integer(cut(z, breaks = c(-Inf, -0.84, -0.25, 0.25, 0.84, Inf)))
@@ -184,6 +188,8 @@ test_that("do_cor with polychoric method handles a constant column without error
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})
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test_that("do_cor with polychoric method handles complex column names", {
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skip_if_not_installed("polycor")
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set.seed(123)
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n <- 100
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cut5 <- function(z) as.integer(cut(z, breaks = c(-Inf, -0.84, -0.25, 0.25, 0.84, Inf)))
@@ -200,6 +206,8 @@ test_that("do_cor with polychoric method handles complex column names", {
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})
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test_that("do_cor with polychoric method accepts use values hetcor does not support", {
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skip_if_not_installed("polycor")
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# hetcor only accepts "complete.obs" and "pairwise.complete.obs", but the public
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# do_cor API (and the other methods via cor()/cor.test()) also accept "everything",
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# "all.obs", and "na.or.complete". Those must be mapped, not passed through as an error.
@@ -218,6 +226,8 @@ test_that("do_cor with polychoric method accepts use values hetcor does not supp
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})
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test_that("do_cor with polychoric method for grouped (repeat-by) data", {
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skip_if_not_installed("polycor")
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# Repeat By on Analytics View maps to group_by(). Each group must get its own
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# polychoric correlation. Group A has a positive relationship, group B a negative one.
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set.seed(123)
@@ -238,6 +248,8 @@ test_that("do_cor with polychoric method for grouped (repeat-by) data", {
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})
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test_that("do_cor with polychoric method handles NA values via pairwise complete obs", {
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skip_if_not_installed("polycor")
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# Survey data routinely has missing responses (NA). The default use="pairwise.complete.obs"
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# must drop NAs pairwise rather than error, so every pair is still estimated.
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set.seed(123)

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