I'm wanting a way to convert the results of a pipeline manipulation into a table so it can be rendered as a HTML table in R Markdown.
Sample data:
Category <- sample(1:6, 394400)
Category <- sample(1:6, 394400, replace=TRUE)
Category <- factor(Category,
levels = c(1,2,3,4,5,6),
labels = c("First",
"Second",
"Third",
"Fourth",
"Fifth",
"Sixth"))
data <- data.frame(Category)
Then I build a frequency table using the pipeline:
Table <- data %>%
group_by(Category) %>%
summarise(N= n(), Percent = n()/NROW(data)*100) %>%
mutate(C.Percent = cumsum(Percent))
Which gives me this nice little summary table here:
# A tibble: 6 × 4
Category N Percent C.Percent
<fctr> <int> <dbl> <dbl>
1 First 65853 16.69701 16.69701
2 Second 66208 16.78702 33.48403
3 Third 65730 16.66582 50.14985
4 Fourth 65480 16.60243 66.75228
5 Fifth 65674 16.65162 83.40390
6 Sixth 65455 16.59610 100.00000
However if I try to convert that to a table to then convert to HTML, it tells me it cannot coerce Table
to a table. This is the same with data frames as well.
Does anyone know a way, as I'd quite like to customise the appearance of the output?
There are several packages for that. Here are some:
knitr::kable(Table)
htmlTable::htmlTable(Table)
ztable::ztable(as.data.frame(Table))
DT::datatable(Table)
stargazer::stargazer(Table, type = "html")
Each of these has different customization options.
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