normalityTest {rexposome} | R Documentation |
data.frame
of boolean indicating if the exposures follows
a normal distribution or not.This functions uses shapiro.test
to test the normality of the
exposures and returns a data.frame
with a boolean value and a
p-value for each exposure.
normalityTest( object, exposure, th = 0.05, min.val = 5, na.rm = TRUE, warnings = TRUE )
object |
ExposomeSet with the exposome to be tested. |
exposure |
Name of the exposure to be tested, if missing all the exposures will be tested. |
th |
(by default |
min.val |
(by default |
na.rm |
(by default |
warnings |
(by default: |
A data.frame
with three columns: exposure, normality and
p.value. "exposure" column contains the name of each exposure. "normalty"
column contains a logical
value indicating if the obtained p-value
is under the given threshold. "p.value" column contains the obtained p-value
from shapiro.test
.
plotHistogram to draw the shape of an exposure, plotMissings to draw a plot with the missing data an ExposomeSet, imputation to impute missing data on the exposures of an ExposomeSet
data("exposome") normalityTest(expo)