shapirosNormal: shapirosNormal
In ajpelu/auxiliar: Auxiliar R functions (miscellaneous)
Description
Usage
Arguments
Value
Description
Compute the normality of a subset of data. The function virtually splits the
data into groups (defined by factor_vars) and compute the normality of
each group using a shapiro test (see shapiro.test)
Usage
1
shapirosNormal(df, resp_var, factor_vars)
Arguments
df
A dataframe object with a response variable and one or more
independent variables
resp_var
is the name of the response variable
factor_vars
a vector with the names of the variables used as factor
variables
Value
A data frame with several variables:
-
statistic is the value of the Shapiro-Wilk statistic
-
p_value an approximate p-value for the test. See
shapiro.test
ajpelu/auxiliar documentation built on May 3, 2019, 9:04 p.m.
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Description Usage Arguments Value
Description
Compute the normality of a subset of data. The function virtually splits the
data into groups (defined by factor_vars) and compute the normality of
each group using a shapiro test (see shapiro.test)
Usage
1 | shapirosNormal(df, resp_var, factor_vars)
|
Arguments
df |
A |
resp_var |
is the name of the response variable |
factor_vars |
a vector with the names of the variables used as factor variables |
Value
A data frame with several variables:
-
statisticis the value of the Shapiro-Wilk statistic -
p_valuean approximate p-value for the test. Seeshapiro.test
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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