h u x table

# Introduction

This is the introductory vignette for the R package ‘huxtable’, version 0.2.2.9000. 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')

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 mydatastart_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. print_screen(ht) ## Employee Salary ## Employee Salary ## John Smith 50000.00 ## Jane Doe 50000.00 ## David Hugh-Jones 40000.00 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 50000.00 Jane Doe 50000.00 David Hugh-Jones 40000.00 # 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, right-align the second column, and add some horizontal space to the cells. 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 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 And to right-align the second column, we do: align(ht)[,2] <- 'right' We can also specify a column by name: align(ht)[,'Salary'] <- 'right' 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 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.  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 position italic colspan tabular_environment na_string left_border width numeric_format left_border_color pad_decimal left_padding rotation right_border text_color right_border_color wrap right_padding rowspan top_border top_border_color top_padding valign ## Pipe style syntax If you prefer to use the magrittr pipe operator (%>%), then you can use set_* functions. These have the same name as the property, with set_ prepended. They 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 Salary John Smith 50000.00 Jane Doe 50000.00 David Hugh-Jones 40000.00 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 three 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). ## 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_mpgcyl),]

cars_mpg <- cars_mpg                          %>%

cars_mpg[1:5,]
 Car mpg cyl am Datsun 710 22.80 4.00 1.00 Merc 240D 24.40 4.00 0.00 Merc 230 22.80 4.00 0.00 Fiat 128 32.40 4.00 1.00

## Using dplyr with huxtable

You can also use dplyr functions:

car_ht <- car_ht                                          %>%
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)                            %>%

car_ht
 Car MPG Cylinders Horsepower kml Valiant 18.10 6.00 105.00 6.42 Mazda RX4 21.00 6.00 110.00 7.45 Mazda RX4 Wag 21.00 6.00 110.00 7.45 Hornet 4 Drive 21.40 6.00 110.00 7.59 Merc 280 19.20 6.00 123.00 6.81 Hornet Sportabout 18.70 8.00 175.00 6.63 Duster 360 14.30 8.00 245.00 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.

# More formatting

## Number format

You can change how huxtable formats numbers using number_format. Huxtable guesses whether your cell is a number based on its contents, not on the column type. Set number_format to a number of decimal places (for more advanced options, see the help files).

number_format(car_ht) <- 0
car_ht[1:5,]
 Car MPG Cylinders Horsepower kml Valiant 18 6 105 6 Mazda RX4 21 6 110 7 Mazda RX4 Wag 21 6 110 7 Hornet 4 Drive 21 6 110 8

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

pointy_ht <- hux(c('Do not pad this.', 11.003, 300, 12.02, '12.1 **'))
pointy_ht <- set_all_borders(pointy_ht, 1)
width(pointy_ht) <- .2

number_format(pointy_ht) <- 3
align(pointy_ht) <- 'right'
pointy_ht
 Do not pad this. 11.003 300.000 12.020 12.1 **

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

## 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 Salary John Smith 50000.00 Jane Doe 50000.00 David Hugh-Jones 40000.00

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[4, 1] <- 'David Arthur Shrimpton Hugh-Jones'
ht 
 Employee Salary John Smith 50000.00 Jane Doe 50000.00 David Arthur Shrimpton Hugh-Jones 40000.00
ht_wrapped <- ht
wrap(ht_wrapped) <- TRUE
ht_wrapped
 Employee Salary John Smith 50000.00 Jane Doe 50000.00 David Arthur Shrimpton Hugh-Jones 40000.00

## 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 functions of the same name. (Be aware that as of March 2017, these conflict with some deprecated dplyr functions.)

as_hux(mtcars[1:4, 1:4])                           %>%
huxtable::add_colnames()
 Car name mpg cyl disp hp Mazda RX4 21.00 6.00 160.00 110.00 Mazda RX4 Wag 21.00 6.00 160.00 110.00 Datsun 710 22.80 4.00 108.00 93.00 Hornet 4 Drive 21.40 6.00 258.00 110.00

## 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_mpgcar_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 22.80 4 1 Merc 240D 24.40 4 0 Merc 230 22.80 4 0 Fiat 128 32.40 4 1 Honda Civic 30.40 4 1 Toyota Corolla 33.90 4 1 Toyota Corona 21.50 4 0 Fiat X1-9 27.30 4 1 Porsche 914-2 26.00 4 1 Lotus Europa 30.40 4 1 Volvo 142E 21.40 4 1 Six cylinders Mazda RX4 21.00 6 1 Mazda RX4 Wag 21.00 6 1 Hornet 4 Drive 21.40 6 0 Valiant 18.10 6 0 Merc 280 19.20 6 0 Merc 280C 17.80 6 0 Ferrari Dino 19.70 6 1 Eight cylinders Hornet Sportabout 18.70 8 0 Duster 360 14.30 8 0 Merc 450SE 16.40 8 0 Merc 450SL 17.30 8 0 Merc 450SLC 15.20 8 0 Cadillac Fleetwood 10.40 8 0 Lincoln Continental 10.40 8 0 Chrysler Imperial 14.70 8 0 Dodge Challenger 15.50 8 0 AMC Javelin 15.20 8 0 Camaro Z28 13.30 8 0 Pontiac Firebird 19.20 8 0 Ford Pantera L 15.80 8 1 Maserati Bora 15.00 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 21.00 6 1 Hornet 4 Drive 21.40 6 0 Valiant 18.10 6 0 Merc 280 19.20 6 0 Merc 280C 17.80 6 0 Ferrari Dino 19.70 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 or outer borders to tables: car_ht %>% set_left_border(everywhere, 1, 1) %>% # left outer border - every row, first column set_right_border(everywhere, final(1), 1) %>% # right outer border - every row, last column set_top_border(1, everywhere, 1) %>% # top outer border - first row, every column set_bottom_border(final(1), everywhere, 1) %>% # bottom outer border - last row, every column set_background_color(evens, everywhere, 'wheat') # horizontal stripe - even rows, all columns  Car MPG Cylinders Horsepower kml Valiant 18 6 105 6 Mazda RX4 21 6 110 7 Mazda RX4 Wag 21 6 110 7 Hornet 4 Drive 21 6 110 8 Merc 280 19 6 123 7 Hornet Sportabout 19 8 175 7 Duster 360 14 8 245 5 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. 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_corrr)                                           %>%
set_background_color(where(att_corr$p < 0.05), 'yellow') %>% # selects cells with p < 0.05 set_background_color(where(att_corr$p < 0.01), 'orange')          %>% # selects cells with p < 0.01
set_text_color(where(row(att_corr$r) == col(att_corr$r)), 'grey')

att_hux <- att_hux                                                      %>%
set_caption('Correlations in attitudes among 30 departments')     %>%
set_bold(1, everywhere, TRUE)                                     %>%
set_bold(everywhere, 1, TRUE)                                     %>%
set_all_borders(1)                                                %>%
set_width(.8)

att_hux
 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. Use this when you are setting a pattern of property values for many cells and want to specify a pattern by row:

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 in columns
set_background_color(rainbow, byrow = TRUE) %>% # background color in 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

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 ReporteRs package from CRAN. You can then convert your huxtable objects to FlexTable objects and include them in Word documents. Almost all formatting should work. See the ReporteRs documentation and ?as_FlexTable for more details.

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.

Lastly, you can print a huxtable on screen using print_screen. Borders, column and row spans and cell alignment are shown:

print_screen(ht)
## Employee table
##    Employee                            Salary
##    Employee                              Salary
##  ------------------------------------------------
##    John Smith                          50000.00
##    Jane Doe                            50000.00
##    David Arthur Shrimpton Hugh-Jones   40000.00

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