| r2lUniv.Rclasses {r2lUniv} | R Documentation |
Methods used by r2lUniv for factor, logical,
ordered, integer and numeric.
On these variables, r2lUniv chooses the
r2lUniv basic classes corresponding
then runs the r2lUniv basic analyses.
## S3 method for class 'factor': r2lUniv(data, fileOutput = "", varName = NA, varNumber = NA, dirGraph = "", graphName = "V",...) ## S3 method for class 'logical': r2lUniv(data, fileOutput = "", varName = NA, varNumber = NA, dirGraph = "", graphName = "V",...) ## S3 method for class 'ordered': r2lUniv(data, fileOutput = "", varName = NA, varNumber = NA, dirGraph = "", graphName = "V",...) ## S3 method for class 'integer': r2lUniv(data, fileOutput = "", varName = NA, varNumber = NA, dirGraph = "", graphName = "V", limDiscrete = 10,...) ## S3 method for class 'numeric': r2lUniv(data, fileOutput = "", varName = NA, varNumber = NA, dirGraph = "", graphName = "V", limDiscrete = 10,...)
data |
vector;
to print |
fileOutput |
character;
name of the output file to save the LaTeX code. If
empty, code is printed on screen. |
varName |
character, single;
title of the LaTeX summary. For no title, use NA
instead of "". |
varNumber |
numeric, single;
number to be printed before the title. For no number, use NA
instead of "". |
dirGraph |
character;
Directory used to save the graphs generated by the analyses. |
graphName |
character, single;
Prefix of the graphs' names. The full names of the graphs will be
graphName with a postfix in ("-boxplot.eps", "-barplot.eps",
"-hist.eps") |
limDiscrete |
numeric;
Fixes the limit that distinguishes continuous variables
from discrete ones. See r2lFindClass for details. |
... |
For S3 compatibility only |
On a variable with standard R class, r2lUniv chooses the
r2lUniv basic classes corresponding to the R class
then runs the r2lUniv basic analyses.
The r2l basic class of the variable is first set by the
r2lFindClasses.
Then r2lUniv is called. See r2lUniv.r2lBasicClasses
for what happens next.
See r2lUniv.r2lBasicClasses for details.
Christophe Genolini
christophe.genolini@free.fr
PSIGIAM: Paris Sud Innovation Group in Adolescent Mental Health
INSERM U669 / Maison de Solenn / Paris
Jean-Marc Chamot
jchamot@u-paris10.fr
Laboratoire "Sport & Culture" / "Sports & Culture" Laboratory
University of Paris 10 / Nanterre
LaTeX web site http://www.latex-project.org/
Sweave,
latex,
r2lUniv,
r2lConcepts,
r2lUniv.r2lBasicClasses,
r2lUniv.data.frame,
r2lFindClass
# # # # # # # # # # # # # # # # # # #
# R to LaTeX, Univariate Analyses #
# Examples #
# R classes #
# # # # # # # # # # # # # # # # #
########################
###### Load the data
data(Vfactor)
data(Vlogical)
data(Vordered)
data(Vinteger)
data(Vnumeric)
########################
###### Run r2lUniv
### The following code will create some files.
### We advise you to first move to directory "r2lUnivExample"
dir.create("r2lUnivExample")
setwd("r2lUnivExample")
dir.create("graph")
### Univariate analyses
r2lUniv(Vfactor,"factor.tex")
r2lUniv(Vlogical,"logical.tex",varName="RepeatingYear",graphName="L")
r2lUniv(Vordered,"ordered.tex",varNumber="3",graphName="O")
r2lUniv(Vinteger,"integer.tex",varName="Age",varNumber="4",graphName="I")
r2lUniv(Vnumeric,"numeric.tex",varName="CheatScore",varNumber="5",graphName="N",dirGraph="graph")
### Creates the main document.
r2lGenerateLatexMain(c("factor.tex","logical.tex","ordered.tex","integer.tex","numeric.tex"))
### Everything is ready, you can now run LaTeX on the file "main.tex"
setwd("..")