sparkTable (version 1.3.0)

summaryST: summaryST - data frame in a graphical table

Description

summary for a data frame in a graphical table

Usage

summaryST(.Object, outputType="html", filename=NULL, graphNames="out", hist=TRUE,boxplot=TRUE,min=TRUE,quantile=TRUE,median=TRUE, mean=TRUE,max=TRUE,changeOrder=NULL,addFun=NULL,digits=2, scaleHistByCol=FALSE,scaleBoxByCol=FALSE)

Arguments

.Object

a data frame

outputType

a character vector of length one specifying the desired output format:

• 'tex': latex output is produced
• 'html': html output is procuded

filename

the filename of the output (minus '.tex' or '.html'

graphNames

the main part of the single graphic files that are produced (minus '-someIndex.extension'

hist

TRUE/FALSE for a histogramm

boxplot

TRUE/FALSE for a boxplot

min

TRUE/FALSE for the minimum

quantile

TRUE/FALSE for 1st and 3rd Quartile

median

TRUE/FALSE for the median

mean

TRUE/FALSE for the mean

max

TRUE/FALSE for the maximum

changeOrder

Indices for reordering the columns of the table

addFun

named list of additional functions e.g. var

digits

number of digits used for rounding

scaleHistByCol

TRUE/FALSE if the histograms of all variables should be on the same x-axis scale

scaleBoxByCol

TRUE/FALSE if the boxplots of all variables should be on the same x-axis scale

Value

object of class 'sparkTable' for further customizing the output (with setParameter)

See Also

export

Examples

## Not run: 
# data1 <- data.frame(x=rnorm(100),y=rlnorm(100),
#   z=rbeta(100,1,1))
# #default summary table
# summaryST(data1,filename="st1a",graphNames="out1a")
# #changing the order of the columns
# summaryST(data1,filename="st1b",changeOrder=c(6,7,2,3,1,4,5,8),graphNames="out1b")
# #adding a custom column
# summaryST(data1,filename="st1c",addFun=list(var=function(x)round(var(x,na.rm=TRUE),2)),
#   graphNames="out1c")
# 
# data2 <- data.frame(x1=rnorm(100),x2=rnorm(100)+1,x3=rnorm(100)+5)
# summaryST(data2,filename="st1d",graphNames="out1d",scaleHistByCol=TRUE,scaleBoxByCol=TRUE)
# # the same results in a shiny app:
# 
# showSparkTable(data2)
# ## End(Not run)