SWNormality: Performing Shapiro-Wilk Normality Test
In ckornafel/expldata: Implementation of Exploratory Data Analysis
Description
Usage
Arguments
Value
See Also
Examples
Description
SWNormality applies the Shapiro-Wilk Normality test and
returns the resulting p-values as well as an "english" translation
if the null hypothesis can be rejected or not: TRUE/FALSE at the 95
confidence level.
Usage
1
SWNormality(x, verbose = TRUE)
Arguments
x
A matrix-like R object
verbose
A logical indicator
Value
A dataframe of results
See Also
Examples
1
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## Not run:
x <- data.frame("Norm1" = c(11.2,8.2,10.0,27.3,14.5,26.4,4.2,15.2,14.5,26.7))
SWNormality(x)
## End(Not run)
ckornafel/expldata documentation built on Dec. 27, 2019, 2:20 a.m.
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Description Usage Arguments Value See Also Examples
Description
SWNormality applies the Shapiro-Wilk Normality test and returns the resulting p-values as well as an "english" translation if the null hypothesis can be rejected or not: TRUE/FALSE at the 95 confidence level.
Usage
1 | SWNormality(x, verbose = TRUE)
|
Arguments
x |
A matrix-like R object |
verbose |
A logical indicator |
Value
A dataframe of results
See Also
Examples
1 2 3 4 5 6 7 | ## Not run:
x <- data.frame("Norm1" = c(11.2,8.2,10.0,27.3,14.5,26.4,4.2,15.2,14.5,26.7))
SWNormality(x)
## End(Not run)
|
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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