xtable: Create Export Tables
In xtable: Export Tables to LaTeX or HTML

Description Usage Arguments Details Value Author(s) See Also Examples

Convert an R object to an xtable object, which can then be printed as a LaTeX or HTML table.

1 2	xtable(x, caption = NULL, label = NULL, align = NULL, digits = NULL, display = NULL, auto = FALSE, ...)

`x`	An R object of class found among `methods(xtable)`. See below on how to write additional method functions for `xtable`.
`caption`	Character vector of length 1 or 2 containing the table's caption or title. If length is 2, the second item is the "short caption" used when LaTeX generates a "List of Tables". Set to `NULL` to suppress the caption. Default value is `NULL`.
`label`	Character vector of length 1 containing the LaTeX label or HTML anchor. Set to `NULL` to suppress the label. Default value is `NULL`.
`align`	Character vector of length equal to the number of columns of the resulting table, indicating the alignment of the corresponding columns. Also, `"\|"` may be used to produce vertical lines between columns in LaTeX tables, but these are effectively ignored when considering the required length of the supplied vector. If a character vector of length one is supplied, it is split as `strsplit(align, "")[[1]]` before processing. Since the row names are printed in the first column, the length of `align` is one greater than `ncol(x)` if `x` is a `data.frame`. Use `"l"`, `"r"`, and `"c"` to denote left, right, and center alignment, respectively. Use `"p{3cm}"` etc. for a LaTeX column of the specified width. For HTML output the `"p"` alignment is interpreted as `"l"`, ignoring the width request. Default depends on the class of `x`.
`digits`	Numeric vector of length equal to one (in which case it will be replicated as necessary) or to the number of columns of the resulting table or matrix of the same size as the resulting table, indicating the number of digits to display in the corresponding columns. Since the row names are printed in the first column, the length of the vector `digits` or the number of columns of the matrix `digits` is one greater than `ncol(x)` if `x` is a `data.frame`. Default depends on the class of `x`. If values of `digits` are negative, the corresponding values of `x` are displayed in scientific format with `abs(digits)` digits.
`display`	Character vector of length equal to the number of columns of the resulting table, indicating the format for the corresponding columns. Since the row names are printed in the first column, the length of `display` is one greater than `ncol(x)` if `x` is a `data.frame`. These values are passed to the `formatC` function. Use `"d"` (for integers), `"f"`, `"e"`, `"E"`, `"g"`, `"G"`, `"fg"` (for reals), or `"s"` (for strings). `"f"` gives numbers in the usual `xxx.xxx` format; `"e"` and `"E"` give `n.ddde+nn` or `n.dddE+nn` (scientific format); `"g"` and `"G"` put `x[i]` into scientific format only if it saves space to do so. `"fg"` uses fixed format as `"f"`, but `digits` as number of significant digits. Note that this can lead to quite long result strings. Default depends on the class of `x`.
`auto`	Logical, indicating whether to apply automatic format when no value is passed to `align`, `digits`, or `display`. This ‘autoformat’ (based on `xalign`, `xdigits`, and `xdisplay`) can be useful to quickly format a typical `matrix` or `data.frame`. Default value is `FALSE`.
`...`	Additional arguments. (Currently ignored.)

This function extracts tabular information from x and returns an object of class "xtable". The nature of the table generated depends on the class of x. For example, aov objects produce ANOVA tables while data.frame objects produce a table of the entire data frame. One can optionally provide a caption or label (called an anchor in HTML), as well as formatting specifications. Default values for align, digits, and display are class dependent.

The available method functions for xtable are given by methods(xtable). Users can extend the list of available classes by writing methods for the generic function xtable. These methods functions should have x as their first argument, with additional arguments to specify caption, label, align, digits, and display. Optionally, other arguments may be passed to specify how the object x should be manipulated. All method functions should return an object whose class is c("xtable","data.frame"). The resulting object can have attributes caption and label, but must have attributes align, digits, and display.

For most xtable methods, an object of class "xtable" which inherits the data.frame class and contains several additional attributes specifying the table formatting options.

David Dahl dahl@stat.byu.edu with contributions and suggestions from many others (see source code).

print.xtable, caption, label, align, digits, display

autoformat, xalign, xdigits, xdisplay

xtableList, xtableMatharray

## Load example dataset
data(tli)

## Demonstrate data.frame
tli.table <- xtable(tli[1:20, ])
print(tli.table)
print(tli.table, type = "html")
xtable(mtcars)
xtable(mtcars, auto = TRUE)

## Demonstrate data.frame with different digits in cells
tli.table <- xtable(tli[1:20, ])
display(tli.table)[c(2,6)] <- "f"
digits(tli.table) <- matrix(0:4, nrow = 20, ncol = ncol(tli)+1)
print(tli.table)
print(tli.table, type = "html")

## Demonstrate matrix
design.matrix <- model.matrix(~ sex*grade, data = tli[1:20, ])
design.table <- xtable(design.matrix, auto = TRUE)
print(design.table)
print(design.table, type = "html")

## Demonstrate aov
fm1 <- aov(tlimth ~ sex + ethnicty + grade + disadvg, data = tli)
fm1.table <- xtable(fm1)
print(fm1.table)
print(fm1.table, type = "html")

## Demonstrate lm
fm2 <- lm(tlimth ~ sex*ethnicty, data = tli)
fm2.table <- xtable(fm2)
print(fm2.table)
print(fm2.table, type = "html")
print(xtable(anova(fm2)))
print(xtable(anova(fm2)), type = "html")
fm2b <- lm(tlimth ~ ethnicty, data = tli)
print(xtable(anova(fm2b, fm2)))
print(xtable(anova(fm2b, fm2)), type = "html")

## Demonstrate glm
fm3 <- glm(disadvg ~ ethnicty*grade, data = tli, family = binomial())
fm3.table <- xtable(fm3)
print(fm3.table)
print(fm3.table, type = "html")
print(xtable(anova(fm3)))
print(xtable(anova(fm3)), type = "html")

## Demonstrate aov
## Taken from help(aov) in R 1.1.1
## From Venables and Ripley (1997) p.210.
N <- c(0,1,0,1,1,1,0,0,0,1,1,0,1,1,0,0,1,0,1,0,1,1,0,0)
P <- c(1,1,0,0,0,1,0,1,1,1,0,0,0,1,0,1,1,0,0,1,0,1,1,0)
K <- c(1,0,0,1,0,1,1,0,0,1,0,1,0,1,1,0,0,0,1,1,1,0,1,0)
yield <- c(49.5,62.8,46.8,57.0,59.8,58.5,55.5,56.0,62.8,55.8,69.5,55.0,
           62.0,48.8,45.5,44.2,52.0,51.5,49.8,48.8,57.2,59.0,53.2,56.0)
npk <- data.frame(block = gl(6,4), N = factor(N), P = factor(P),
                  K = factor(K), yield = yield)
npk.aov <- aov(yield ~ block + N*P*K, npk)
op <- options(contrasts = c("contr.helmert", "contr.treatment"))
npk.aovE <- aov(yield ~  N*P*K + Error(block), npk)
options(op)

summary(npk.aov)
print(xtable(npk.aov))
print(xtable(anova(npk.aov)))
print(xtable(summary(npk.aov)))

summary(npk.aovE)
print(xtable(npk.aovE), type = "html")
print(xtable(summary(npk.aovE)), type = "html")

## Demonstrate lm
## Taken from help(lm) in R 1.1.1
## Annette Dobson (1990) "An Introduction to Generalized Linear Models".
## Page 9: Plant Weight Data.
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2,10,20, labels = c("Ctl","Trt"))
weight <- c(ctl, trt)
lm.D9 <- lm(weight ~ group)
print(xtable(lm.D9))
print(xtable(anova(lm.D9)))

## Demonstrate glm
## Taken from help(glm) in R 1.1.1
## Annette Dobson (1990) "An Introduction to Generalized Linear Models".
## Page 93: Randomized Controlled Trial :
counts <- c(18,17,15,20,10,20,25,13,12)
outcome <- gl(3,1,9)
treatment <- gl(3,3)
d.AD <- data.frame(treatment, outcome, counts)
glm.D93 <- glm(counts ~ outcome + treatment, family = poisson())
print(xtable(glm.D93, align = "r|llrc"))
print(xtable(anova(glm.D93)), hline.after = c(1), size = "small")

## Demonstration of additional formatC() arguments.
print(fm1.table, format.args = list(big.mark = "'", decimal.mark = ","))

## Demonstration of "short caption" support.
fm1sc <- aov(tlimth ~ sex + ethnicty + grade, data = tli)
fm1sc.table <- xtable(fm1sc,
  caption = c("ANOVA Model with Predictors Sex, Ethnicity, and Grade",
    "ANOVA: Sex, Ethnicity, Grade"))
print(fm1sc.table)

## Demonstration of longtable support.
## Remember to insert \usepackage{longtable} on your LaTeX preamble
x <- matrix(rnorm(1000), ncol = 10)
x.big <- xtable(x, label = 'tabbig',
                caption = 'Example of longtable spanning several pages')
print(x.big, tabular.environment = 'longtable', floating = FALSE)
x <- x[1:30, ]
x.small <- xtable(x, label = 'tabsmall', caption = 'regular table env')
print(x.small)  # default, no longtable

## Demonstration of sidewaystable support.
## Remember to insert \usepackage{rotating} on your LaTeX preamble
print(x.small, floating.environment = 'sidewaystable')

if(require(stats, quietly = TRUE)) {
  ## Demonstrate prcomp
  ## Taken from help(prcomp) in mva package of R 1.1.1
  data(USArrests)
  pr1 <- prcomp(USArrests)
  print(xtable(pr1))
  print(xtable(summary(pr1)))

#  ## Demonstrate princomp
#  ## Taken from help(princomp) in mva package of R 1.1.1
#  pr2 <- princomp(USArrests)
#  print(xtable(pr2))
}

## Demonstrate include.rownames, include.colnames,
## only.contents and add.to.row arguments
set.seed(2345)
res <- matrix(sample(0:9, size = 6*9, replace = TRUE), ncol = 6, nrow = 9)
xres <- xtable(res)
digits(xres) <- rep(0, 7)
addtorow <- list()
addtorow$pos <- list()
addtorow$pos[[1]] <- c(0, 2)
addtorow$pos[[2]] <- 4
addtorow$command <- c('\vspace{2mm} \n', '\vspace{10mm} \n')
print(xres, add.to.row = addtorow, include.rownames = FALSE,
      include.colnames = TRUE, only.contents = TRUE,
      hline.after = c(0, 0, 9, 9))

## Demonstrate include.rownames, include.colnames,
## only.contents and add.to.row arguments in Rweave files

## Not run: 
 \begin{small}
 \setlongtables 
 \begin{longtable}{
 <<results = tex, fig = FALSE>>=
 cat(paste(c('c', rep('cc', 34/2-1), 'c'), collapse = '@{\hspace{2pt}}'))
 @
 }
 \hline
 \endhead
 \hline
 \endfoot
 <<results = tex, fig = FALSE>>=
 library(xtable)
 set.seed(2345)
 res <- matrix(sample(0:9, size = 34*90, replace = TRUE), ncol = 34, nrow = 90)
 xres <- xtable(res)
 digits(xres) <- rep(0, 35)
 addtorow <- list()
 addtorow$pos <- list()
 addtorow$pos[[1]] <- c(seq(4, 40, 5), seq(49, 85, 5))
 addtorow$pos[[2]] <- 45
 addtorow$command <- c('\vspace{2mm} \n', '\newpage \n')
 print(xres, add.to.row = addtorow, include.rownames = FALSE,
       include.colnames = FALSE, only.contents = TRUE, hline.after = NULL)
 @
 \end{longtable}
 \end{small}

## End(Not run)

## Demonstrate sanitization
mat <- round(matrix(c(0.9, 0.89, 200, 0.045, 2.0), c(1, 5)), 4)
rownames(mat) <- "$y_{t-1}$"
colnames(mat) <- c("$R^2$", "$\\bar{R}^2$", "F-stat", "S.E.E", "DW")
print(xtable(mat), type = "latex", sanitize.text.function = function(x){x})

## Demonstrate booktabs
print(tli.table)
print(tli.table, hline.after = c(-1,0))
print(tli.table, hline.after = NULL)
print(tli.table,
      add.to.row = list(pos = list(2), command = c("\vspace{2mm} \n")))

print(tli.table, booktabs = TRUE)
print(tli.table, booktabs = TRUE, hline.after = c(-1,0))
print(tli.table, booktabs = TRUE, hline.after = NULL)
print(tli.table, booktabs = TRUE,
  add.to.row = list(pos = list(2), command = c("\vspace{2mm} \n")))
print(tli.table, booktabs = TRUE, add.to.row = list(pos = list(2),
  command = c("youhou\n")), tabular.environment = "longtable")