percent | R Documentation |

`percent`

returns a table of percentages along with
the percentage base. It will be useful
in conjunction with `Aggregate`

or `genTable`

.

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)

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