我想知道,如果p值比0.001小,那么如何在Sweave中使用0.001符号?
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2, 10, 20, labels = c("Ctl","Trt"))
weight <- c(ctl, trt)
lm.D9 <- lm(weight ~ group)
summary(lm.D9)$coef
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4.8465 0.1557174 31.12368 4.185248e-17
group1 -0.1855 0.1557174 -1.19126 2.490232e-01期望输出
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4.8465 0.1557174 31.12368 <0.001
group1 -0.1855 0.1557174 -1.19126 0.249发布于 2014-04-11 17:18:44
我使用了两个主要功能,format.pval和这个我从gforge中提取出来并进行了调整。
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2, 10, 20, labels = c("Ctl","Trt"))
weight <- c(ctl, trt)
lm.D9 <- lm(weight ~ group)
tmp <- data.frame(summary(lm.D9)$coef)
tmp <- setNames(tmp, colnames(summary(lm.D9)$coef))
tmp[ , 4] <- format.pval(tmp[ , 4], eps = .001, digits = 2)
tmp
# Estimate Std. Error t value Pr(>|t|)
# (Intercept) 5.032 0.2202177 22.85012 <0.001
# groupTrt -0.371 0.3114349 -1.19126 0.25我喜欢这一种,因为它从pvalue> .1 (或者如果您想要一些不同的东西,或者任何阈值;也就是说,不管digits,它只保留两个小数位,如果值是> .1)中删除精度,保持尾随零(参见下面的示例),并为某种级别的精度添加< like您想要的值(在这里0.001)。
pvalr <- function(pvals, sig.limit = .001, digits = 3, html = FALSE) {
roundr <- function(x, digits = 1) {
res <- sprintf(paste0('%.', digits, 'f'), x)
zzz <- paste0('0.', paste(rep('0', digits), collapse = ''))
res[res == paste0('-', zzz)] <- zzz
res
}
sapply(pvals, function(x, sig.limit) {
if (x < sig.limit)
if (html)
return(sprintf('< %s', format(sig.limit))) else
return(sprintf('< %s', format(sig.limit)))
if (x > .1)
return(roundr(x, digits = 2)) else
return(roundr(x, digits = digits))
}, sig.limit = sig.limit)
}和例子:
pvals <- c(.133213, .06023, .004233, .000000134234)
pvalr(pvals, digits = 3)
# [1] "0.13" "0.060" "0.004" "< 0.001"https://stackoverflow.com/questions/23018256
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