This one is the most useful, and has a nice guide to customisation here: library(hwriter)Ĭat(hwrite(my_data, border = 0, center=TRUE, ame='void', width='300px', table.style='padding: 50px', row.names=FALSE, row. Fortunately for R users, there are many ways to create beautiful tables that effectively communicate your results. # be NULL # Warning in rep(colnames, length = ncol(x)): 'x' is NULL so the result will # Pandoc print(ascii(my_data), type = 'pandoc') # Warning in rep(rownames, length = nrow(x)): 'x' is NULL so the result will # The following object is masked from 'package:pander': Pander::pandoc.table(my_data, style="rmarkdown") a Print(xtable(my_data), type = 'html', = '') To add a table, use three or more hyphens ( - ) to create each columns header, and use pipes ( ) to separate each column. Note that if you would like to add greek letters or more complicated sub-or superscripts, you will need to include the following text reference outside of the code chunk. This is working for me in pdf and html exports. Print(xtable(my_data), type = "html", include.rownames=FALSE, =list("border='0' cellpadding='5' ")) The table can now be reference via ref(tab:mwe) in bookdown. Names(my_data) <- c(letters) library("knitr") The code for this is online at my_data <- head(iris) You can turn this off, apply bootstrap options such as striped and interactive (so that a row highlights on mouse over), and set the position of the table to float to allow you to display text alongside your table: Note. By default, kablestyling() will display a table full width. The last method offers the most flexibility and produces quite nice output. Using float to Create Multi-Column Output. Most of them are a bit irritating because of limitations on customising table and column widths. A few methods for making tables in rmarkdown
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