Nothing
library(testthat)
library(topics)
library(text)
library(glmnet)
test_that("Handling NAs",{
testthat::skip_on_cran()
NA_data <- dep_wor_data %>%
dplyr::select(c(Deptext, Gender, Age, PHQ9tot))
colnames(NA_data)
set.seed(123) # Set seed for reproducibility
# Introduce NAs in the 'Deptext' column
NA_data$Deptext[sample(1:nrow(NA_data), size = 5)] <- NA
table(is.na(NA_data$Deptext))
# Introduce NAs in the 'Gender' column
NA_data$Gender[sample(1:nrow(NA_data), size = 5)] <- NA
table(is.na(NA_data$Gender))
# Introduce NAs in the 'Age' column
NA_data$Age[sample(1:nrow(NA_data), size = 5)] <- NA
# Introduce NAs in the 'PHQ9tot' column
NA_data$PHQ9tot[sample(1:nrow(NA_data), size = 5)] <- NA
# Introduce an entire row of NAs
row_to_na <- sample(1:nrow(NA_data), size = 1) # Randomly select one row
NA_data[row_to_na, ] <- NA
# Introducing rows with few words
NA_data$Deptext[[2]] <- "hello"
NA_data$Deptext[[3]] <- "hello you"
NA_data$Deptext[[4]] <- "hello how are"
##### Testing dataset on our functions ####
# Testing with _
data_test <- NA_data
## 1-Dimension
dtm <- topics::topicsDtm(
data = data_test$Deptext)
model <- topics::topicsModel(
dtm = dtm)
preds <- topics::topicsPreds(
model = model,
data = data_test$Deptext)
test1 <- topics::topicsTest(
model= model,
preds = preds,
data = data_test,
x_variable = "PHQ9tot",
y_variable = "Age")
save_dir_temp <- tempfile()
topics::topicsPlot(
model = model,
test = test1,
p_alpha = 1,
figure_format = "png",
seed = 11,
save_dir = save_dir_temp)
# Check if the wordcloud directory exists
testthat::expect_true(file.exists(paste0(
save_dir_temp, "/seed_11/wordclouds/dot_legend_corvar_PHQ9tot__Age.png")))
testthat::expect_true(file.exists(paste0(
save_dir_temp, "/seed_11/wordclouds/grid_legend_corvar_PHQ9tot__Age.png")))
})
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