我有以下代码用于分析一些实验数据:
# Load Data
data <- read.csv("./HHT/Processed_Data/data_.csv")
data %>%
group_by(Round) %>%
get_summary_stats(Q1.1, type="mean_sd")
# Friedman Test
res.fried <- friedman.test(y = data$Q1.1,
groups = data$Round,
blocks = data$P_ID)
这很好用。我想编写一个函数来快速运行相同的测试,同时只更改 y 值。我写了以下内容:
friedman <- function(column) {
res <- friedman.test(y = data$column, groups = data$Round, blocks = data$P_ID)
return(res)
}
friedman(Q1.1)
当我尝试调用该函数时,出现以下错误:
Error in friedman.test.default(y = data$column, groups = data$Round, blocks = data$P_ID) : 'y', 'groups' and 'blocks' must have the same length