colTest | R Documentation |
Perform a simple wilcoxon-rank-sum test or t-test on the columns of a data frame
colTest(df, condition, type = NULL, feature = NULL, imageID = "imageID")
df |
A data.frame or SingleCellExperiment, SpatialExperiment |
condition |
The condition of interest |
type |
The type of test, "wilcox", "ttest" or "survival". |
feature |
Can be used to calculate the proportions of this feature for each image |
imageID |
The imageID's if presenting a SingleCellExperiment |
Proportions
# Test for an association with long-duration diabetes
# This is clearly ignoring the repeated measures...
data("diabetesData")
diabetesData <- spicyR:::.format_data(
diabetesData, "imageID", "cellType", c("x", "y"), FALSE
)
props <- getProp(diabetesData)
condition <- spicyR:::getImagePheno(diabetesData)$stage
names(condition) <- spicyR:::getImagePheno(diabetesData)$imageID
condition <- condition[condition %in% c("Long-duration", "Onset")]
test <- colTest(props[names(condition), ], condition)
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