h u x
table

Introduction

About this document

This is the introductory vignette for the R package ‘huxtable’, version 4.0.1. A current version is available on the web in HTML or PDF format.

Huxtable

Huxtable is a package for creating text tables. It is powerful, but easy to use. It is meant to be a replacement for packages like xtable, which is useful but not always very user-friendly. Huxtable’s features include:

  • Export to LaTeX, HTML, Word and Markdown
  • Easy integration with knitr and rmarkdown documents
  • Multirow and multicolumn cells
  • Fine-grained control over cell background, spacing, alignment, size and borders
  • Control over text font, style, size, colour, alignment, number format and rotation
  • Table manipulation using standard R subsetting, or dplyr functions like filter and select
  • Easy conditional formatting based on table contents
  • Quick table themes
  • Automatic creation of regression output tables with the huxreg function

We will cover all of these features below.

Installation

If you haven’t already installed huxtable, you can do so from the R command line:

install.packages('huxtable')

Getting started

A huxtable is a way of representing a table of text data in R. You already know that R can represent a table of data in a data frame. For example, if mydata is a data frame, then mydata[1, 2] represents the the data in row 1, column 2, and mydata$start_time is all the data in the column called start_time.

A huxtable is just a data frame with some extra properties. So, if myhux is a huxtable, then myhux[1, 2] represents the data in row 1 column 2, as before. But this cell will also have some other properties - for example, the font size of the text, or the colour of the cell border.

To create a table with huxtable, use the function huxtable, or hux for short. This works very much like data.frame.

library(huxtable)
ht <- hux(
        Employee     = c('John Smith', 'Jane Doe', 'David Hugh-Jones'), 
        Salary       = c(50000, 50000, 40000),
        add_colnames = TRUE
      )

If you already have your data in a data frame, you can convert it to a huxtable with as_hux.

data(mtcars)
car_ht <- as_hux(mtcars)

If you look at a huxtable in R, it will print out a simple representation of the data. Notice that we’ve added the column names to the data frame itself, using the add_colnames argument to hux. We’re going to print them out, so they need to be part of the actual table. NB: This means that row 1 of your data will be row 2 of the huxtable, and the column names of your data will be the new row 1.

print_screen(ht)     # on the R command line, you can just type "ht"
##   Employee            Salary  
##   John Smith           5e+04  
##   Jane Doe             5e+04  
##   David Hugh-Jones     4e+04  
## 
## Column names: Employee, Salary

To print a huxtable out using LaTeX or HTML, just call print_latex or print_html. In knitr documents, like this one, you can simply evaluate the hux. It will know what format to print itself in.

ht
Employee Salary
John Smith 5e+04
Jane Doe 5e+04
David Hugh-Jones 4e+04

Changing the look and feel

Huxtable properties

The default output is a very plain table. Let’s make it a bit smarter. We’ll make the table headings bold, draw a line under the header row, and add some horizontal space to the cells. We also need to change that default number formatting to look less scientific.

To do this, we need to set cell level properties. You set properties by assigning to the property name, just as you assign names(x) <- new_names in base R. The following commands assign the value 10 to the right_padding and left_padding properties, for all cells in ht:

right_padding(ht) <- 10
left_padding(ht)  <- 10

Similarly, we can set the number_format property to change how numbers are displayed in cells:

number_format(ht) <- 2    # 2 decimal places

To assign properties to just some cells, you use subsetting, just as in base R. So, to make the first row of the table bold and give it a bottom border, we do:

bold(ht)[1, ]          <- TRUE
bottom_border(ht)[1, ] <- 1

After these changes, our table looks smarter:

ht
Employee Salary
John Smith 50000.00
Jane Doe 50000.00
David Hugh-Jones 40000.00

So far, all these properties have been set at cell level. Different cells can have different alignment, text formatting and so on. By contrast, caption is a table-level property. It only takes one value, which sets a table caption.

caption(ht) <- 'Employee table'
ht
Employee table
Employee Salary
John Smith 50000.00
Jane Doe 50000.00
David Hugh-Jones 40000.00

As well as cell properties and table properties, there is also one row property, row heights, and one column property, column widths.

The table below shows a complete list of properties. Most properties work the same for LaTeX and HTML, though there are some exceptions.

Huxtable properties
Cell Text Cell Row Column Table
bold align row_height col_width caption
escape_contents background_color caption_pos
font bottom_border height
font bottom_border_color label
font_size bottom_padding latex_float
italic colspan position
na_string left_border tabular_environment
number_format left_border_color width
rotation left_padding
text_color right_border
wrap right_border_color
right_padding
rowspan
top_border
top_border_color
top_padding
valign

Tidyverse syntax

If you prefer a tidyverse style of code, using the pipe operator %>%, then you can use set_* functions. These have the same name as the property, with set_ prepended. For example, to set the bold property, you use the set_bold function.

set_* functions return the modified huxtable, so you can chain them together like this:

library(dplyr)
hux(
        Employee     = c('John Smith', 'Jane Doe', 'David Hugh-Jones'), 
        Salary       = c(50000, 50000, 40000),
        add_colnames = TRUE
      )                               %>% 
      set_bold(1, 1:2, TRUE)          %>% 
      set_bottom_border(1, 1:2, 1)    %>%
      set_align(1:4, 2, 'right')      %>%
      set_right_padding(10)           %>%
      set_left_padding(10)            %>% 
      set_caption('Employee table')
Employee table
Employee Salary
John Smith 5e+04
Jane Doe 5e+04
David Hugh-Jones 4e+04

set_* functions for cell properties are called like this: set_xxx(ht, row, col, value) or like this: set_xxx(ht, value). If you use the second form, then the value is set for all cells. set_* functions for table properties are always called like set_xxx(ht, value). We’ll learn more about this interface in a moment.

There are also four useful convenience functions:

  • set_all_borders sets left, right, top and bottom borders for selected cells;
  • set_all_border_colors sets left, right, top and bottom border colors;
  • set_all_padding sets left, right, top and bottom padding (the amount of space between the content and the border);
  • set_outer_borders sets an outer border around a rectangle of cells.

Getting properties

To get the current properties of a huxtable, just use the properties function without the left arrow:

italic(ht)
##   Employee Salary
## 1    FALSE  FALSE
## 2    FALSE  FALSE
## 3    FALSE  FALSE
## 4    FALSE  FALSE
position(ht)
## [1] "center"

As before, you can use subsetting to get particular rows or columns:

bottom_border(ht)[1:2,]
##   Employee Salary
## 1        1      1
## 2        0      0
bold(ht)[,'Salary']
##     1     2     3     4 
##  TRUE FALSE FALSE FALSE

Editing content

Standard subsetting

You can subset, sort and generally data-wrangle a huxtable just like a normal data frame. Cell and table properties will be carried over into subsets.

# Select columns by name:
cars_mpg <- car_ht[, c('mpg', 'cyl', 'am')] 
# Order by number of cylinders:
cars_mpg <- cars_mpg[order(cars_mpg$cyl),]

cars_mpg <- cars_mpg                          %>% 
      huxtable::add_rownames(colname = 'Car') %>% 
      huxtable::add_colnames()

cars_mpg[1:5,]
Car mpg cyl am
Datsun 710 22.8 4 1
Merc 240D 24.4 4 0
Merc 230 22.8 4 0
Fiat 128 32.4 4 1

Using dplyr with huxtable

You can also use dplyr functions to edit a huxtable:

car_ht <- car_ht                                          %>%
      huxtable::add_rownames(colname = 'Car')             %>%
      slice(1:10)                                         %>% 
      select(Car, mpg, cyl, hp)                           %>% 
      arrange(hp)                                         %>% 
      filter(cyl > 4)                                     %>% 
      rename(MPG = mpg, Cylinders = cyl, Horsepower = hp) %>% 
      mutate(kml = MPG/2.82)                               


car_ht <- car_ht                               %>% 
      set_number_format(1:7, 'kml', 2)         %>% 
      set_col_width(c(.35, .15, .15, .15, .2)) %>% 
      set_width(.6)                            %>% 
      huxtable::add_colnames() 

car_ht
Car MPG Cylinders Horsepower kml
Valiant 18.1 6 105 6.42
Mazda RX4 21   6 110 7.45
Mazda RX4 Wag 21   6 110 7.45
Hornet 4 Drive 21.4 6 110 7.59
Merc 280 19.2 6 123 6.81
Hornet Sportabout 18.7 8 175 6.63
Duster 360 14.3 8 245 5.07

In general it is a good idea to prepare your data first, before styling it. For example, it was easier to sort the cars_mpg data by cylinder, before adding column names to the data frame itself.

Functions to insert rows, columns and footnotes

Huxtable has three convenience functions for adding a row or column to your table: insert_row, insert_column and add_footnote. insert_row and insert_column let you add a single row or column. The after parameter specifies where in the table to do the insertion, i.e. after what row or column number. add_footnote adds a single cell in a new row at the bottom. The cell spans the whole table row, and has a border above.

ht <- insert_row(ht, 'Hadley Wickham', '100000', after = 3)
ht <- add_footnote(ht, 'DHJ deserves a pay rise')
ht
Employee table
Employee Salary
John Smith 50000.00
Jane Doe 50000.00
Hadley Wickham 100000.00
David Hugh-Jones 40000.00
DHJ deserves a pay rise

More formatting

Number format

You can change how huxtable formats numbers using number_format. Set number_format to a number of decimal places (for more advanced options, see the help files). This affects all numbers, or number-like substrings within your cells.

pointy_ht <- hux(c('Do not pad this.', 11.003, 300, 12.02, '12.1 **')) %>% set_all_borders(1)

number_format(pointy_ht) <- 3
pointy_ht
Do not pad this.
11.003
300.000
12.020
12.100 **

You can also align columns by decimal places. If you want to do this for a cell, just set the align property to ‘.’ (or whatever you use for a decimal point).

align(pointy_ht)[2:5, ] <- '.' # not the first row
pointy_ht
Do not pad this.
11.003   
300.000   
12.020   
12.100 **

There is currently no true way to align cells by the decimal point in HTML, and only limited possibilities in TeX, so this works by right-padding cells with spaces. The output may look better if you use a fixed width font.

Automatic formatting

By default, when you create a huxtable using huxtable or as_huxtable, the package will guess defaults for number formatting and alignment, based on the type of data in your columns. Numeric data will be right-aligned or aligned on the decimal point; character data will be left aligned; and the package will try to set sensible defaults for number formatting. If you want to, you can turn this off with autoformat = FALSE:

my_data <- data.frame(
        Employee           = c('John Smith', 'Jane Doe', 'David Hugh-Jones'), 
        Salary             = c(50000L, 50000L, 40000L),
        Performance_rating = c(8.9, 9.2, 7.8)  
      )
as_huxtable(my_data, add_colnames = TRUE) # with automatic formatting
Employee Salary Performance_rating
John Smith 50000 8.9
Jane Doe 50000 9.2
David Hugh-Jones 40000 7.8
as_huxtable(my_data, add_colnames = TRUE, autoformat = FALSE) # no automatic formatting
Employee Salary Performance_rating
John Smith 5e+04 8.9
Jane Doe 5e+04 9.2
David Hugh-Jones 4e+04 7.8

Escaping HTML or LaTeX

By default, HTML or LaTeX code will be escaped:

code_ht <- if (is_latex) hux(c('Some maths', '$a^b$')) else 
      hux(c('Copyright symbol', '&copy;'))
code_ht
Copyright symbol
&copy;

To avoid this, set the escape_contents property to FALSE.

escape_contents(code_ht)[2, 1] <- FALSE
code_ht
Copyright symbol
©

Width and cell wrapping

You can set table widths using the width property, and column widths using the col_width property. If you use numbers for these, they will be interpreted as proportions of the table width (or for width, a proportion of the width of the surrounding text). If you use character vectors, they must be valid CSS or LaTeX widths. The only unit both systems have in common is pt for points.

width(ht) <- 0.35
col_width(ht) <- c(.7, .3)
ht
Employee table
Employee Salary
John Smith 50000.00
Jane Doe 50000.00
Hadley Wickham 100000.00
David Hugh-Jones 40000.00
DHJ deserves a pay rise

It is best to set table width explicitly, then set column widths as proportions.

By default, if a cell contains long contents, it will be stretched. Use the wrap property to allow cell contents to wrap over multiple lines:

ht_wrapped <- ht
ht_wrapped[5, 1] <- 'David Arthur Shrimpton Hugh-Jones'
wrap(ht_wrapped) <- TRUE
ht_wrapped
Employee table
Employee Salary
John Smith 50000.00
Jane Doe 50000.00
Hadley Wickham 100000.00
David Arthur Shrimpton Hugh-Jones 40000.00
DHJ deserves a pay rise

Adding row and column names

Just like data frames, huxtables can have row and column names. Often, we want to add these to the final table. You can do this using either the add_colnames/add_rownames arguments to as_huxtable, or the add_colnames()/add_rownames() functions. (Note that earlier versions of dplyr used to have functions with the same name.)

as_hux(mtcars[1:4, 1:4])                           %>% 
      huxtable::add_rownames(colname = 'Car name') %>% 
      huxtable::add_colnames()
Car name mpg cyl disp hp
Mazda RX4 21   6 160 110
Mazda RX4 Wag 21   6 160 110
Datsun 710 22.8 4 108 93
Hornet 4 Drive 21.4 6 258 110

Column and row spans

Huxtable cells can span multiple rows or columns, using the colspan and rowspan properties.

cars_mpg <- cbind(car_type = rep("", nrow(cars_mpg)), cars_mpg)
cars_mpg$car_type[1] <- 'Four cylinders'
cars_mpg$car_type[13] <- 'Six cylinders'
cars_mpg$car_type[20] <- 'Eight cylinders'
rowspan(cars_mpg)[1, 1] <- 12
rowspan(cars_mpg)[13, 1] <- 7
rowspan(cars_mpg)[20, 1] <- 14

cars_mpg <- rbind(c('', 'List of cars', '', '', ''), cars_mpg)
colspan(cars_mpg)[1, 2] <- 4
align(cars_mpg)[1, 2] <- 'center'

# a little more formatting:

cars_mpg <- set_all_padding(cars_mpg, 2)
cars_mpg <- set_all_borders(cars_mpg, 1)
valign(cars_mpg)[1,] <- 'top'
col_width(cars_mpg) <- c(.4 , .3 , .1, .1, .1)
number_format(cars_mpg)[, 4:5] <- 0
bold(cars_mpg)[1:2, ] <- TRUE
bold(cars_mpg)[, 1] <- TRUE
if (is_latex) font_size(cars_mpg) <- 10
cars_mpg
List of cars
Four cylinders Car mpg cyl am
Datsun 710 22.8 4 1
Merc 240D 24.4 4 0
Merc 230 22.8 4 0
Fiat 128 32.4 4 1
Honda Civic 30.4 4 1
Toyota Corolla 33.9 4 1
Toyota Corona 21.5 4 0
Fiat X1-9 27.3 4 1
Porsche 914-2 26   4 1
Lotus Europa 30.4 4 1
Volvo 142E 21.4 4 1
Six cylinders Mazda RX4 21   6 1
Mazda RX4 Wag 21   6 1
Hornet 4 Drive 21.4 6 0
Valiant 18.1 6 0
Merc 280 19.2 6 0
Merc 280C 17.8 6 0
Ferrari Dino 19.7 6 1
Eight cylinders Hornet Sportabout 18.7 8 0
Duster 360 14.3 8 0
Merc 450SE 16.4 8 0
Merc 450SL 17.3 8 0
Merc 450SLC 15.2 8 0
Cadillac Fleetwood 10.4 8 0
Lincoln Continental 10.4 8 0
Chrysler Imperial 14.7 8 0
Dodge Challenger 15.5 8 0
AMC Javelin 15.2 8 0
Camaro Z28 13.3 8 0
Pontiac Firebird 19.2 8 0
Ford Pantera L 15.8 8 1
Maserati Bora 15   8 1

Quick themes

Huxtable comes with some predefined themes for formatting.

theme_striped(cars_mpg[14:20,], stripe = 'bisque1', header_col = FALSE, header_row = FALSE)
Six cylinders Mazda RX4 21   6 1
Mazda RX4 Wag 21   6 1
Hornet 4 Drive 21.4 6 0
Valiant 18.1 6 0
Merc 280 19.2 6 0
Merc 280C 17.8 6 0
Ferrari Dino 19.7 6 1

Selecting rows, columns and cells

Row and column functions

If you use the set_* style functions, huxtable has some convenience functions for selecting rows and columns.

To select all rows, or all columns, use everywhere in the row or column specification. To select just even or odd-numbered rows or columns, use evens or odds. To select the last n rows or columns, use final(n). To select every nth row, use every(n) and to do this starting from row m use every(n, from = m).

With these functions it is easy to add striped backgrounds to tables:

car_ht                                                 %>% 
      set_background_color(evens, everywhere, 'wheat') %>% 
      set_background_color(odds, everywhere, grey(.9)) %>% 
      set_bold(1, everywhere, TRUE)
Car MPG Cylinders Horsepower kml
Valiant 18.1 6 105 6.42
Mazda RX4 21   6 110 7.45
Mazda RX4 Wag 21   6 110 7.45
Hornet 4 Drive 21.4 6 110 7.59
Merc 280 19.2 6 123 6.81
Hornet Sportabout 18.7 8 175 6.63
Duster 360 14.3 8 245 5.07

Of course you could also just do 1:nrow(car_ht), but, in the middle of a dplyr pipe, you may not know exactly how many rows or columns you have. Also, these functions make your code easy to read.

You can also use dplyr functions like starts_with(), contains(), and matches() to specify columns by column name. For a full list of these functions, see ?select_helpers.

car_ht %>% set_background_color(everywhere, starts_with('C'), 'orange')
Car MPG Cylinders Horsepower kml
Valiant 18.1 6 105 6.42
Mazda RX4 21   6 110 7.45
Mazda RX4 Wag 21   6 110 7.45
Hornet 4 Drive 21.4 6 110 7.59
Merc 280 19.2 6 123 6.81
Hornet Sportabout 18.7 8 175 6.63
Duster 360 14.3 8 245 5.07
car_ht %>% set_italic(everywhere, matches('[aeiou]'), TRUE)
Car MPG Cylinders Horsepower kml
Valiant 18.1 6 105 6.42
Mazda RX4 21   6 110 7.45
Mazda RX4 Wag 21   6 110 7.45
Hornet 4 Drive 21.4 6 110 7.59
Merc 280 19.2 6 123 6.81
Hornet Sportabout 18.7 8 175 6.63
Duster 360 14.3 8 245 5.07

Note that unlike in dplyr’s select function, you have to specify rows as well as columns.

Lastly, remember that you can set a property for every cell by simply omitting the row and col arguments, like this: set_background_color(ht, 'orange').

Conditional formatting

You may want to apply conditional formatting to cells, based on their contents. Suppose we want to display a table of correlations, and to highlight ones which are significant. We can use the where() function to select those cells.

library(psych)
data(attitude)
att_corr <- corr.test(as.matrix(attitude))

att_hux <- as_hux(att_corr$r)                                           %>% 
      # selects cells with p < 0.05:
      set_background_color(where(att_corr$p < 0.05), 'yellow')          %>% 
      # selects cells with p < 0.01:
      set_background_color(where(att_corr$p < 0.01), 'orange')          %>% 
      set_text_color(where(row(att_corr$r) == col(att_corr$r)), 'grey') 


att_hux <- att_hux                                                      %>% 
      huxtable::add_rownames()                                          %>% 
      huxtable::add_colnames()                                          %>%
      set_caption('Correlations in attitudes among 30 departments')     %>% 
      set_bold(1, everywhere, TRUE)                                     %>% 
      set_bold(everywhere, 1, TRUE)                                     %>% 
      set_all_borders(1)                                                %>%
      set_number_format(2)                                              %>% 
      set_position('left')

att_hux
Correlations in attitudes among 30 departments
rownames rating complaints privileges learning raises critical advance
rating 1.00 0.83 0.43 0.62 0.59 0.16 0.16
complaints 0.83 1.00 0.56 0.60 0.67 0.19 0.22
privileges 0.43 0.56 1.00 0.49 0.45 0.15 0.34
learning 0.62 0.60 0.49 1.00 0.64 0.12 0.53
raises 0.59 0.67 0.45 0.64 1.00 0.38 0.57
critical 0.16 0.19 0.15 0.12 0.38 1.00 0.28
advance 0.16 0.22 0.34 0.53 0.57 0.28 1.00

We have now seen three ways to call set_* functions in huxtable:

  • With four arguments, like set_property(hux_object, rows, cols, value);
  • With two arguments, like set_property(hux_object, value) to set a property everywhere;
  • With three arguments, like set_property(hux_object, where(condition), value) to set a property for specific cells.

The second argument of the three-argument version must return a 2-column matrix. Each row of the matrix gives one cell. where() does this for you: it takes a logical matrix argument and returns the rows and columns where a condition is TRUE. It’s easiest to show this with an example:

m <- matrix(c('dog', 'cat', 'dog', 'dog', 'cat', 'cat', 'cat', 'dog'), 4, 2)
m
##      [,1]  [,2] 
## [1,] "dog" "cat"
## [2,] "cat" "cat"
## [3,] "dog" "cat"
## [4,] "dog" "dog"
where(m == 'dog') # m is equal to 'dog' in cells (1, 1), (3, 1), (4, 1) and (4, 2):
##      row col
## [1,]   1   1
## [2,]   3   1
## [3,]   4   1
## [4,]   4   2

set_* functions have one more optional argument, the byrow argument, which is FALSE by default. If you set a single pattern for many cells, you may want the pattern to fill the matrix by column or by row. The default fills the pattern in going down columns. If you set byrow = TRUE, the pattern goes across rows instead. (This is a bit confusing: typically, byrow = TRUE means that the columns will all look the same. But it works the same way as the byrow argument to matrix().)

color_demo <- matrix('text', 7, 7)
rainbow <- c('red', 'orange', 'yellow', 'green', 'blue', 'turquoise', 'violet')
color_demo <- as_hux(color_demo)                  %>% 
      set_text_color(rainbow)                     %>% # text rainbow down columns
      set_background_color(rainbow, byrow = TRUE) %>% # background color rainbow along rows
      set_all_borders(1)                          %>% 
      set_all_border_colors('white')
color_demo
text text text text text text text
text text text text text text text
text text text text text text text
text text text text text text text
text text text text text text text
text text text text text text text
text text text text text text text

Creating a regression table

A common task for scientists is to create a table of regressions. The function huxreg does this for you. Here’s a quick example:

data(diamonds, package = 'ggplot2')

lm1 <- lm(price ~ carat, diamonds)
lm2 <- lm(price ~ depth, diamonds)
lm3 <- lm(price ~ carat + depth, diamonds)

huxreg(lm1, lm2, lm3)
(1) (2) (3)
(Intercept) -2256.361 *** 5763.668 *** 4045.333 ***
(13.055)    (740.556)    (286.205)   
carat 7756.426 ***          7765.141 ***
(14.067)             (14.009)   
depth          -29.650 *   -102.165 ***
         (11.990)    (4.635)   
N 53940         53940         53940        
R2 0.849     0.000     0.851    
logLik -472730.266     -523772.431     -472488.441    
AIC 945466.532     1047550.862     944984.882    
*** p < 0.001; ** p < 0.01; * p < 0.05.

For more information see the huxreg vignette, available online in HTML or PDF or in R via vignette('huxreg').

Output to different formats

Automatic pretty-printing of data frames

If you load huxtable within a knitr document, it will automatically format data frames for you by installing a knit_print.data_frame command.

head(mtcars)
mpg cyl disp hp drat wt qsec vs am gear carb
21   6 160 110 3.9  2.62 16.5 0 1 4 4
21   6 160 110 3.9  2.88 17   0 1 4 4
22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
21.4 6 258 110 3.08 3.21 19.4 1 0 3 1
18.7 8 360 175 3.15 3.44 17   0 0 3 2
18.1 6 225 105 2.76 3.46 20.2 1 0 3 1

If you don’t want this (e.g. if you want to use knitr::kable or the printr package, then you can turn it off like this:

options(huxtable.knit_print_df = FALSE)

head(mtcars) # back to normal
##                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

Using huxtables in knitr and rmarkdown

If you use knitr and rmarkdown in RStudio, huxtable objects should automatically display in the appropriate format (HTML or LaTeX). You need to have some LaTeX packages installed for huxtable to work. To find out what these are, you can call report_latex_dependencies(). This will print out and/or return a set of usepackage{...} statements. If you use Sweave or knitr without rmarkdown, you can use this function in your LaTeX preamble to load the packages you need.

Rmarkdown exports to Word via Markdown. You can use huxtable to do this, but since Markdown tables are rather basic, a lot of formatting will be lost. If you want to create Word or Powerpoint documents directly, install the flextable package from CRAN. You can then convert your huxtable objects to flextable objects and include them in Word or Powerpoint documents. Almost all formatting should work. See the flextable and officer documentation and ?as_flextable for more details.

Similarly, to create formatted reports in Excel, install the openxlsx package. You can then use as_Workbook to convert your huxtables to Workbook objects, and save them using openxlsx::saveWorkbook.

Sometimes you may want to select how huxtable objects are printed by default. For example, in an RStudio notebook (a .Rmd document with output_format = html_notebook), huxtable can’t automatically work out what format to use, as of the time of writing. You can set it manually using options(huxtable.print = print_notebook) which prints out HTML in an appropriate format.

You can print a huxtable on screen using print_screen (or just by typing its name at the command line.) Borders, column and row spans and cell alignment are shown. If the crayon package is installed, and your terminal or R IDE supports it, border, text and background colours are also displayed.

print_screen(ht)
##          Employee table         
##   Employee              Salary  
## ────────────────────────────────
##   John Smith          50000.00  
##   Jane Doe            50000.00  
##   Hadley Wickham     100000.00  
##   David Hugh-Jones    40000.00  
## ────────────────────────────────
##   DHJ deserves a pay rise       
## 
## Column names: Employee, Salary

If you need to output to another format, file an issue request on Github.

Quick output commands

Sometimes you quickly want to get your data into a Word, HTML or PDF document. To do this you can use the quick_docx, quick_html, quick_pdf and quick_xlsx functions. These are called with one or more huxtable objects, or objects which can be turned into a huxtable such as data frames. A new document of the appropriate type will be created. By default the file will be in the current directory under the name e.g. huxtable-output.pdf. If the file already exists, you’ll be asked to confirm the overwrite. For non-interactive use, you must specify a filename yourself explicitly – this keeps you from accidentally trashing your files.

quick_pdf(mtcars) 
quick_pdf(mtcars, file = 'motorcars data.pdf')

End matter

For more information, see the website or github.