bugfix d column with empty strings

DESCRIPTION

@@ -2,7 +2,7 @@ Package: tinytable
 Type: Package
 Title: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats
 Description: Create highly customized tables with this simple and dependency-free package. Data frames can be converted to 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', or 'Typst' tables. The user interface is minimalist and easy to learn. The syntax is concise. 'HTML' tables can be customized using the flexible 'Bootstrap' framework, and 'LaTeX' code with the 'tabularray' package.
-Version: 0.6.1.5
+Version: 0.6.1.6
 Imports:
     methods
 Depends:
@@ -17,6 +17,7 @@ Suggests:
     gh,
     marginaleffects,
     markdown,
+    modelsummary,
     pandoc,
     quarto,
     rmarkdown,

NEWS.md

@@ -10,6 +10,7 @@ Bugs:
 
 * `save_tt("file.pdf")` works with colors. Thanks to @olivedv for the report and solution #395.
 * `group_tt(i=vec)`: `vec` can be a factor vector
+* `style_tt(align="d")` with empty strings (`modelsummary::datasummary_balance()` test)
 
 New:
 

R/style_tabularray.R

@@ -293,8 +293,14 @@ color_to_preamble <- function(x, col) {
 get_dcolumn <- function(j, x) {
   siunitx <- get_option("tinytable_siunitx_table_format", default = "table-format=-%s.%s,table-align-text-before=false,table-align-text-after=false,input-symbols={-,\\*+()}")
   num <- unlist(x@table_dataframe[, j])
+
+  # empty cells
+  num <- sapply(num, trimws)
+  num <- num[sapply(num, nchar) > 0]
+
   num <- strsplit(num, "\\.")
   num <- lapply(num, function(k) if (length(k) == 1) c(k, " ") else k)
+
   left <- sapply(num, function(k) k[[1]])
   right <- sapply(num, function(k) k[[2]])
   left <- max(nchar(gsub("\\D", "", left)))

inst/tinytest/test-modelsummary.R

@@ -0,0 +1,20 @@
+source("helpers.R")
+requiet("modelsummary")
+
+# modelsummary Issue #711: stars and d-columns
+training <- 'https://vincentarelbundock.github.io/Rdatasets/csv/Ecdat/Treatment.csv'
+training <- read.csv(training, na.strings = "")
+training <- transform(training,
+  `Earnings Before` = re75 / 1000,
+  `Earnings After` = re78 / 1000,
+  Treatment = ifelse(treat == TRUE, 'Treatment', 'Control'),
+  Married = ifelse(married == TRUE, 'Yes', 'No')
+)
+cols <- c("Earnings Before", "Earnings After", "Treatment", "ethn", "age", "educ", "Married")
+names <- c("Earnings Before", "Earnings After", "Treatment", "Ethnicity", "Age", "Education", "Married")
+training <- training[, cols]
+training <- setNames(training, names)
+tab <- datasummary_balance(~ Treatment, training, fmt = 3, stars = TRUE, output = "data.frame")
+p <- tt(tab) |> style_tt(align = "lllllldl") |> save_tt("latex")
+expect_inherits(p, "character")
+