This question already has an answer here:
Following on from a previous question, I am using the cell_spec
function from kableExtra to change the background color of cells within a table. How can you remove the NA text and color the background white for the NA cells so that an NA appears just as a blank cell?
Below is my example table with the NA cells. In real life there is a dynamic number of columns with various number of NAs in each column.
---
output: pdf_document
---
```{r setup, include=FALSE}
library(kableExtra)
library(dplyr)
knitr::opts_chunk$set(echo = TRUE)
set.seed(2)
d <- data_frame(group = sample(LETTERS[1:5], 10, replace=TRUE), cat1=runif(10, 0, 100), cat2=runif(10, 0, 100))
d[3:5,2:3] <- NA
# Functions used to create color palette
max.val <- max(d[ , sapply(d, is.numeric)], na.rm=TRUE)
pal.fnc <- colorRamp(c("red", "yellow", "green"))
d <- d %>%
mutate_if(is.numeric, function(x) {
cell_spec(round(x,1), "latex", bold = F, color=grey(.3),
background = rgb(pal.fnc(x/max.val) %>% replace(., is.na(.), 200), maxColorValue=255))
})
```
```{r table, echo = FALSE}
kable(d,
linesep = "",
booktabs = T,
escape = F )
```
You can control knitr
options(knitr.kable.NA = '')
to suppress NAs, however this is not working here as you are overwriting the NAs with the value as\\cellcolor[HTML]{C8C8C8}{\\textcolor[HTML]{4D4D4D}{NA}}"
.To make the
options(knitr.kable.NA = '')
line work, we will have to control thecell_spec
function only run on non NA values, and prevent it from adding the extra HTML code to the NA values. We can usecase_when
within dplyr to conditionally mutate the data, so that the NAs are left untouched. To make it easier to read I created a functioncolourCell
which is then used within themutate_if
statement before creating the table: