Table of Percentages with Percentage Base
percent(x,...)
## Default S3 method:
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",...)x |
a numeric vector or factor. |
weights |
a optional numeric vector of weights of the same length as |
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 |
... |
for |
A table of percentages.
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("x > 0" = percent(x>0,ci=TRUE),
"y > 0" = percent(y>0,ci=TRUE),
"z > 0" = percent(z>0,ci=TRUE)) ~ f
)
ftable(gt,row.vars=3:2,col.vars=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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.