memisc (version 0.96-10)

percent: Table of Percentages with Percentage Base

Description

percent returns a table of percentages along with the percentage base. It will be useful in conjunction with aggregate.formula.

Usage

percent(x,...)
  ## S3 method for class 'default':
percent(x,weights=NULL,total=!(se || ci),
      se=FALSE,ci=FALSE,ci.level=.95,
      total.name="N",perc.label="Percentage",...)
  ## S3 method for class 'logical':
percent(x,weights=NULL,total=!(se || ci),
      se=FALSE,ci=FALSE,ci.level=.95,
      total.name="N",perc.label="Percentage",...)

Arguments

x

a numeric vector or factor.

weights

a optional numeric vector of weights of the same length as x.

total

logical; should the total sum of counts from which the percentages are computed be included into the output?

se

logical; should standard errors of the percentages be included?

ci

logical; should confidence intervals of the percentages be included?

ci.level

numeric; nominal coverage of confidence intervals

total.name

character; name given for the total sum of counts

perc.label

character; label given for the percentages if the table has more than one dimensions, e.g. if se or ci is TRUE.

...

for percent.mresp: one or several 1-0 vectors or matrices otherwise, further arguments, currently ignored.

Value

• A table of percentages.

Examples

x <- rnorm(100)
y <- rnorm(100)
z <- rnorm(100)
f <- sample(1:3,100,replace=TRUE)
f <- factor(f,labels=c("a","b","c"))


percent(x>0)
percent(f)

genTable(
  cbind(percent(x>0),
        percent(y>0),
        percent(z>0)) ~ f
  )

gt <- genTable(
  cbind(percent(x>0,ci=TRUE),
        percent(y>0,ci=TRUE),
        percent(z>0,ci=TRUE)) ~ f
  )

print(gt)
ftable(gt,row.vars=2,col.vars=c(3,1))

ex.data <- expand.grid(mean=c(0,25,50),sd=c(1,10,100))[rep(1:9,rep(250,9)),]
ex.data <- within(ex.data,x <- rnorm(n=nrow(ex.data),mean=ex.data$mean,sd=ex.data$sd))
ex.data <- within(ex.data,x.grp <- cases( x < 0,
                                            x >= 0 & x < 50,
                                            x >= 50 & x < 100,
                                            x >= 100
                                          ))
genTable(percent(x.grp)~mean+sd,data=ex.data)

aggregate(percent(Admit,weight=Freq)~Gender+Dept,data=UCBAdmissions)