norm_check: Normality Test
In jonathanbart/baxtr: A Package for the Social Scientist
Description
Usage
Arguments
Examples
Description
Produce a distribution plot including a density curve, mean (red line), and median (blue line).
A Shapiro-Wilk normality test is also run and results printed to console. Remember, if the Shapiro-Wilk test is significant the
data is non-normally distributed.
Usage
1
norm_check(x)
Arguments
x
An R object. Accepts three forms of the extract operator, the slot operator is untested.
Examples
1
2
x <- sample(1:100, size = 1000, replace = TRUE)
norm_check(x)
jonathanbart/baxtr documentation built on May 23, 2019, 4:04 a.m.
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Description Usage Arguments Examples
Description
Produce a distribution plot including a density curve, mean (red line), and median (blue line). A Shapiro-Wilk normality test is also run and results printed to console. Remember, if the Shapiro-Wilk test is significant the data is non-normally distributed.
Usage
1 | norm_check(x)
|
Arguments
x |
An R object. Accepts three forms of the extract operator, the slot operator is untested. |
Examples
1 2 | x <- sample(1:100, size = 1000, replace = TRUE)
norm_check(x)
|
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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