Inf, -Inf in tplyr table if Min, Max only contain NA values
johanneswerner opened this issue · comments
One of my treatment groups only has missing values. Why does the summary table show Inf, -Inf
(and is there a possibility to transform this to something more readable)?
As an example, I used the CO2 dataset and added a new row with NA for conc
.
library(tidyverse)
library(Tplyr)
data(CO2)
df <- CO2
df <- df %>%
add_row(
Plant = "Mc4",
Type = "Colorado",
Treatment = "nonchilled",
conc = NA,
uptake = NA
)
tplyr_table(df, Plant) %>%
add_layer(
group_desc(conc, by = "Treatment", where = Type == "Colorado") %>%
set_format_strings(
"n" = f_str("xx", n),
"Mean (SD)"= f_str("xx.x (xx.xx)", mean, sd),
"Median" = f_str("xx.x", median),
"Q1, Q3" = f_str("xx, xx", q1, q3),
"Min, Max" = f_str("xx, xx", min, max),
"Missing" = f_str("xx", missing)
)
) %>%
build()
And here is the Tplyr output
# A tibble: 6 × 18
row_label1 row_label2 var1_Mc1 var1_Mc2 var1_Mc3 var1_Mc4 var1_Mn1 var1_Mn2 var1_Mn3 var1_Qc1 var1_Qc2 var1_Qc3
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
1 Treatment n "" "" "" " 1" "" "" "" "" "" ""
2 Treatment Mean (SD) "" "" "" "" "" "" "" "" "" ""
3 Treatment Median "" "" "" "" "" "" "" "" "" ""
4 Treatment Q1, Q3 "" "" "" "" "" "" "" "" "" ""
5 Treatment Min, Max "" "" "" "Inf, -Inf" "" "" "" "" "" ""
6 Treatment Missing "" "" "" " 1" "" "" "" "" "" ""
# ℹ 6 more variables: var1_Qn1 <chr>, var1_Qn2 <chr>, var1_Qn3 <chr>, ord_layer_index <int>, ord_layer_1 <int>,
# ord_layer_2 <int>
This is a duplicate of #21
This is a side effect of using na.rm=TRUE
on the backend:
> min(c(NA), na.rm=TRUE)
[1] Inf
Warning message:
In min(c(NA), na.rm = TRUE) :
no non-missing arguments to min; returning Inf
Would you prefer that this creates an empty string? Or how would you like it represented? Currently your best bet is to post process the strings. But there's two places we could address it in Tplyr's process:
- Add
f_str()
handling of Inf similar to the NA handling in theempty
parameter, or just convert Inf to NA to handle identically. - Update
apply_conditional_formats()
to recognize Inf as a numeric value and handle the replacements similarly.