您可以将数据通过管道传输到 pairwise.t.test 中吗?
Can you pipe data into a pairwise.t.test?
我想知道是否可以简化以下代码以允许数据直接从 summarize 命令传输到 pairwise.t.test,而不创建中间对象?
data_for_PTT <- data %>%
group_by(subj, TT) %>%
summarise(meanRT = mean(RT))
pairwise.t.test(x = data_for_PTT$meanRT, g = data_for_PTT$TT, paired = TRUE)
我试过x = .$meanRT
但不喜欢,返回:
Error in match.arg(p.adjust.method) :
'arg' must be NULL or a character vector
可以使用大括号:
data_for_PTT <- data %>%
group_by(subj, TT) %>%
summarise(meanRT = mean(RT)) %>%
{pairwise.t.test(x = .$meanRT, g = .$TT, paired = TRUE)}
可重现:
df <- data.frame(X1 = runif(1000), X2 = runif(1000), subj = rep(c("A", "B")))
df %>%
{pairwise.t.test(.$X1, .$subj, paired = TRUE)}
我想知道是否可以简化以下代码以允许数据直接从 summarize 命令传输到 pairwise.t.test,而不创建中间对象?
data_for_PTT <- data %>%
group_by(subj, TT) %>%
summarise(meanRT = mean(RT))
pairwise.t.test(x = data_for_PTT$meanRT, g = data_for_PTT$TT, paired = TRUE)
我试过x = .$meanRT
但不喜欢,返回:
Error in match.arg(p.adjust.method) : 'arg' must be NULL or a character vector
可以使用大括号:
data_for_PTT <- data %>%
group_by(subj, TT) %>%
summarise(meanRT = mean(RT)) %>%
{pairwise.t.test(x = .$meanRT, g = .$TT, paired = TRUE)}
可重现:
df <- data.frame(X1 = runif(1000), X2 = runif(1000), subj = rep(c("A", "B")))
df %>%
{pairwise.t.test(.$X1, .$subj, paired = TRUE)}