You can create tables in R that are more custom than what is available with our standard R tables using the *formattable* R package. You can use the formattable package when you want to start with a modern look, add custom shading, and sparkgraphs. It does not have the search and filtering capabilities that DT tables in R has nor does it distribute cells evenly like CreateCustomTables in R. This article describes how to go from two tables...

...to a *formattable* table with colored significance arrows based on the values in the second table.

## Requirements

- A table of values to add formatting to - for this specific example we use a table with multiple rows and a time period range in columns.
- A table showing the
*z-Statistic*for the desired columns - In this example, we are using the z scores from the 2016 data.

Please note these steps require a **Displayr **license.

## Method

1. Select the** Calculation icon > Custom Code** and draw a box on the **Page**.

2. In the **object inspector**, go to **General > R CODE** and paste in the following code, editing as needed based on the comments:

#load the R package of functions needed

library(formattable)

#identify table of values - replace prevalence.table with your table name or click on a table

tab1 = prevalence.table

#identify table with z-statistic - replace prevalence.z.scores with your table name or

#click on the z-statistic table to insert the name automatically

z = prevalence.z.scores

####Combine the data together and format into the data needed for the final table

#create copy of value table with rownames as its own column

prevalence <- cbind("Indicator Name" = rownames(tab1),

as.data.frame(tab1))

#combine the z-statistic as a column to the table of values

prev.sig = cbind(prevalence,z=z[,NCOL(z)])

#remove rownames

rownames(prev.sig) <- c()

#keep the data you need using [rows, columns], below we keep the 1, 6, 7, and 10th columns

prev.sig = prev.sig[, c(1,6:7,10)]

#set the header of last column (column 4) to blank

names(prev.sig)[4] = " "

####Create the final formattable table

#use formatter() to format the last column with the blank header.

#~style and ~icontext arguments set the colors and icons for the last column based

#on the values of the two 2015 and 2016 columns and the z-statistic (1.96 is 95% confidence)

formattable(prev.sig, #give it the table of data you want to show

list(" " = formatter("span",

style = ~ style(color = ifelse(`2016` >`2015`, "green", "red")),

~ icontext(sapply(` `, function(x) if (x < -1.96) "arrow-down" else if (x > 1.96) "arrow-up" else "")))))

## Next

How to Customize a Table Using the Formattable R Package

How to Format Areas of a Table Using the Formattable R Package

How to Add Sparklines to a Table Using the Formattable R Package

How to Add Statistical Significance to CreateCustomTable R Tables