xtable {xtable} | R Documentation |

Function converting an R object to an `xtable`

object, which can then be printed as a LaTeX or HTML table.

xtable(x, caption=NULL, label=NULL, align=NULL, vsep=NULL, digits=NULL, display=NULL, ...)

`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 containing the table's caption or title.
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, `"|"` maybe 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
can be 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. Default depends on the class of `x` . |

`vsep` |
Character vector with length equal to one or the number of columns in the resulting table + 2 (one for left and one for right margin). These may be any column separators acceptable to LaTeX. Default depends on the class of argument. Ignored in HTML mode. |

`digits` |
Numeric vector of length equal 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 of 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` . |

`...` |
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 (called a title in HTML) or label (called an anchor in HTML),
as well as formatting specifications. Default
values for `align`

, `vsep`

, `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`

, `vsep`

,
`digits`

, and
`display`

. Optionally, other arguments
may be present to specify how the object `x`

should be manipulated.
All method functions should return an object whose class if given by `c("xtable","data.frame")`

.
The resulting object can have attributes `caption`

and
`label`

, but must have attributes `align`

,
`digits`

, and `display`

. It is strongly recommened that you set these attributes through the
provided replacement functions as they perform validity checks.

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.tamu.edu with contributions and suggestions from many others (see source code).

`print.xtable`

, `caption`

, `label`

,
`align`

, `digits`

, `display`

, `formatC`

, `methods`

## Load example dataset data(tli) ## Demonstrate data.frame tli.table <- xtable(tli[1:20,]) digits(tli.table)[c(2,6)] <- 0 print(tli.table) print(tli.table,type="html") ## Demonstrate data.frame with different digits in cells tli.table <- xtable(tli[1:20,]) 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) 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 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 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)) }

[Package *xtable* version 1.3-0 Index]