agricolae (version 1.0-4)

tapply.stat: Statistics of data grouped by factors

Description

This process lies in finding statistics which consist of more than one variable, grouped or crossed by factors. The table must be organized by columns between variables and factors.

Usage

tapply.stat(x, y, stat = "mean")

Arguments

x

data.frame factors

y

data.frame variables

stat

Method

Value

• x
  Numeric
• y
  Numeric
• stat
  method = "mean", ...

Examples

library(agricolae)
# case of 1 single factor
data(sweetpotato)
tapply.stat(sweetpotato[,1],sweetpotato[,2],mean)
attach(sweetpotato)
tapply.stat(virus,yield,sd)
tapply.stat(virus,yield,function(x) max(x)-min(x))
tapply.stat(virus,yield,function(x) quantile(x,0.75,6)-quantile(x,0.25,6))
# other case
data(cotton)
attach(cotton)
tapply.stat(cotton[,c(1,3,4)],yield,mean)
tapply.stat(cotton[,c(1,4)],yield,max)
# Height of pijuayo
data(growth)
attach(growth)
tapply.stat(growth[,2:1], height,function(x) mean(x,na.rm=TRUE))
# trees
data(trees)
attach(trees)
w<-tapply(trees[,3],trees[,2],function(x) mean(x,na.rm=TRUE))
#startgraph
barplot(w,density=c(4,8,12,16),col=c(2,4,6,8),angle=c(0,45,90,145),las=2)
#endgraph
tapply.stat(species,diameter,function(x) mean(x,na.rm=TRUE))