assumption.check: Check assumptions for anova analysis
In ezrp/R: TFM Functions
View source: R/assumption.check.R
assumption.check R Documentation
Check assumptions for anova analysis
Description
In this function you can analize for outliers, normality and homogeneity assumptions
Usage
assumption.check(data, phase = NULL, type = NULL)
Arguments
data
data frame
phase
study phase. Mandatory: 'baseline', 'induction', 'learning', or 'transfer'.
type
assumption type to be checked. Mandatory: 'outliers', 'normality', 'homogeneity'
Value
assumptions results
Examples
df<-data.frame('your data')
assumptions(df, phase = 'baseline', type = 'outliers')
assumptions(df,'baseline', 'outliers')
ezrp/R documentation built on June 22, 2022, 7:24 p.m.
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View source: R/assumption.check.R
| assumption.check | R Documentation |
Check assumptions for anova analysis
Description
In this function you can analize for outliers, normality and homogeneity assumptions
Usage
assumption.check(data, phase = NULL, type = NULL)
Arguments
data |
data frame |
phase |
study phase. Mandatory: 'baseline', 'induction', 'learning', or 'transfer'. |
type |
assumption type to be checked. Mandatory: 'outliers', 'normality', 'homogeneity' |
Value
assumptions results
Examples
df<-data.frame('your data')
assumptions(df, phase = 'baseline', type = 'outliers')
assumptions(df,'baseline', 'outliers')
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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