doebioresearch (version 0.1.0)

stripplot: Analysis of Strip plot design

Description

The function gives ANOVA, R-square of the model, normality testing of residuals, SEm (standard error of mean), SEd (standard error of difference), interpretation of ANOVA results and multiple comparison test for means

Usage

stripplot(data, block, column, row, mean.comparison.test)

Arguments

data

dependent variables

block

vector containing replications

column

vector containing column strip levels

row

vector containing row strip levels

mean.comparison.test

0 for no test, 1 for LSD test, 2 for Duncan test and 3 for HSD test

Value

ANOVA, interpretation of ANOVA, R-square, normality test result, SEm, SEd and multiple comparison test result

Examples

# NOT RUN {
data(splitdata)
#Split data is used for sake of demonstration
#Using Date of sowing as Column factor and varieties as Row factor and using LSD test for Yield only
stripplot(splitdata[4],splitdata$Replication,splitdata$Date_of_Sowing,splitdata$Varities,1)
#Using Date of sowing as Column factor and varieties as Row factor and using LSD test for both var.
stripplot(splitdata[4:5],splitdata$Replication,splitdata$Date_of_Sowing,splitdata$Varities,1)
# }