vedhav
commented
8 months ago I believe the level contains empty strings so it feels like it's missing. The table on the right side only displays the count stats for non-missing values. Also, the graph would indicate the missing values in a different color.
I have two examples to showcase what is going on:
1. Example with missing values in the column SEX
library(teal.modules.general)
data <- teal_data()
data <- within(data, {
ADSL <- rADSL
ADSL$SEX[1:10] <- NA
ADTTE <- rADTTE
})
join_keys(data) <- default_cdisc_join_keys[datanames(data)]
app <- init(
data = data,
modules = tm_variable_browser(
label = "Variable browser"
)
)
shinyApp(app$ui, app$server)2. Example with an empty factor level in the column SEX (Presumably this is happening here)
library(teal.modules.general)
data <- teal_data()
data <- within(data, {
ADSL <- rADSL
ADSL$SEX <- factor(ADSL$SEX, levels = c("F", "M", ""))
ADSL$SEX[1:10] <- ""
attr(ADSL$SEX, "label") <- "Sex"
ADTTE <- rADTTE
})
join_keys(data) <- default_cdisc_join_keys[datanames(data)]
app <- init(
data = data,
modules = tm_variable_browser(
label = "Variable browser"
)
)
shinyApp(app$ui, app$server)
chlebowa
npaszty
What happened?
the "Missing" column count in the left hand table does not match the "Missing" record count in the table underneath the bar chart.
sessionInfo()
Relevant log output
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