tabulr | R Documentation |
tabulr
is a front-end to the tables
package's
tabular
function so that the user can take
advantage of variable annotations used by the Hmisc
package,
particular those created by the label
, units
, and
upData
functions. When a variable appears in a
tabular
function, the
variable x
is found in the data
argument or in the parent
environment, and the labelLatex
function is used to create
a LaTeX label. By default any units of measurement are right justified
in the current LaTeX tabular field using hfill
; use nofill
to list variables for which units
are not right-justified with
hfill
. Once the label is constructed, the variable name is
preceeded by Heading("LaTeX label")*x
in the formula before it is
passed to tabular
. nolabel
can be used to
specify variables for which labels are ignored.
tabulr
also replaces trio
with table_trio
, N
with table_N
, and freq
with table_freq
in the
formula.
table_trio
is a function that takes a numeric vector and computes
the three quartiles and optionally the mean and standard deviation, and
outputs a LaTeX-formatted character string representing the results. By
default, calculated statistics are formatted with 3 digits to the left
and 1 digit to the right of the decimal point. Running
table_options(left=l, right=r)
will use l
and r
digits instead. Other options that can be given to
table_options
are prmsd=TRUE
to add mean +/- standard
deviation to the result, pn=TRUE
to add the sample size,
bold=TRUE
to set the median in bold face, showfreq='all',
'low', 'high'
used by the table_freq
function, pctdec
,
specifying the number of places to the right of the decimal point for
percentages (default is zero), and
npct='both','numerator','denominator','none'
used by
table_formatpct
to control what appears after the percent.
Option pnformat
may be specified to control the formatting for
pn
. The default is "(n=..)"
. Specify
pnformat="non"
to suppress "n="
. pnwhen
specifies
when to print the number of observations. The default is
"always"
. Specify pnwhen="ifna"
to include n
only
if there are missing values in the vector being processed.
tabulr
substitutes table_N
for N
in the formula.
This is used to create column headings for the number of observations,
without a row label.
table_freq
analyzes a character variable to compute, for a single
output cell, the percents, numerator, and denominator for each category,
or optimally just the maximum or minimum, as specified by
table_options(showfreq)
.
table_formatpct
is a function that formats percents depending on
settings of options in table_options
.
nFm
is a function that calls sprintf
to format
numeric values to have a specific number of digits to the left
and to the right
of the point.
table_latexdefs
writes (by default) to the console a set of LaTeX
definitions that can be invoked at any point thereafter in a knitr
or
sweave
document by naming the macro, preceeded by a single
slash. The blfootnote
macro is called with a single LaTeX
argument which will appear as a footnote without a number.
keytrio
invokes blfootnote
to define the output of
table_trio
if mean and SD are not included. If mean and SD are
included, use keytriomsd
.
tabulr(formula, data = NULL, nolabel=NULL, nofill=NULL, ...)
table_trio(x)
table_freq(x)
table_formatpct(num, den)
nFm(x, left, right, neg=FALSE, pad=FALSE, html=FALSE)
table_latexdefs(file='')
formula |
a formula suitable for |
data |
a data frame or list. If omitted, the parent environment is assumed to contain the variables. |
nolabel |
a formula such as |
nofill |
a formula such as |
... |
other arguments to |
x |
a numeric vector |
num |
a single numerator or vector of numerators |
den |
a single denominator |
left , right |
number of places to the left and right of the decimal point, respectively |
neg |
set to |
pad |
set to |
html |
set to |
file |
location of output of |
tabulr
returns an object of class "tabular"
Frank Harrell
tabular
, label
,
latex
, summaryM
## Not run:
n <- 400
set.seed(1)
d <- data.frame(country=factor(sample(c('US','Canada','Mexico'), n, TRUE)),
sex=factor(sample(c('Female','Male'), n, TRUE)),
age=rnorm(n, 50, 10),
sbp=rnorm(n, 120, 8))
d <- upData(d,
preghx=ifelse(sex=='Female', sample(c('No','Yes'), n, TRUE), NA),
labels=c(sbp='Systolic BP', age='Age', preghx='Pregnancy History'),
units=c(sbp='mmHg', age='years'))
contents(d)
require(tables)
invisible(booktabs()) # use booktabs LaTeX style for tabular
g <- function(x) {
x <- x[!is.na(x)]
if(length(x) == 0) return('')
paste(latexNumeric(nFm(mean(x), 3, 1)),
' \hfill{\smaller[2](', length(x), ')}', sep='')
}
tab <- tabulr((age + Heading('Females')*(sex == 'Female')*sbp)*
Heading()*g + (age + sbp)*Heading()*trio ~
Heading()*country*Heading()*sex, data=d)
# Formula after interpretation by tabulr:
# (Heading('Age\hfill {\smaller[2] years}') * age + Heading("Females")
# * (sex == "Female") * Heading('Systolic BP {\smaller[2] mmHg}') * sbp)
# * Heading() * g + (age + sbp) * Heading() * table_trio ~ Heading()
# * country * Heading() * sex
cat('\begin{landscape}\n')
cat('\begin{minipage}{\textwidth}\n')
cat('\keytrio\n')
latex(tab)
cat('\end{minipage}\end{landscape}\n')
getHdata(pbc)
pbc <- upData(pbc, moveUnits=TRUE)
# Convert to character to prevent tabular from stratifying
for(x in c('sex', 'stage', 'spiders')) {
pbc[[x]] <- as.character(pbc[[x]])
label(pbc[[x]]) <- paste(toupper(substring(x, 1, 1)), substring(x, 2), sep='')
}
table_options(pn=TRUE, showfreq='all')
tab <- tabulr((bili + albumin + protime + age) *
Heading()*trio +
(sex + stage + spiders)*Heading()*freq ~ drug, data=pbc)
latex(tab)
## End(Not run)
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