作为预测包中的 checkresiduals() 函数和 rbind() 函数的结果,我得到了这个矩阵 (ETS_RESIDUALS):
#Result of checkresiduals() function
[,1]
[1,] "Q* = 161.83, df = 18.8, p-value < 2.2e-16"
[2,] "Q* = 125.46, df = 18.8, p-value < 2.2e-16"
[3,] "Q* = 263.65, df = 18.8, p-value < 2.2e-16"
[4,] "Q* = 81.503, df = 18.8, p-value = 8.763e-10"
[5,] "Q* = 36.616, df = 18.8, p-value = 0.008178"
str(ETS_RESIDUALS)
#chr [1:5, 1] "Q* = 161.83, df = 18.8, p-value < 2.2e-16" "Q* = 125.46, df = 18.8, p-value < 2.2e-16" "Q* = 263.65, df = 18.8, p-value < 2.2e-16" ...
class(ETS_RESIDUALS)
#[1] "matrix"
现在,我的目的是用 grep() 或其他函数将这行文本分割成一个 data.frame(有四列 TEST、Q*、df、p 值),如下例所示:
TEST Q* df p-value
--------------------------------------------
TEST_1 161.83 18.8 2.2e-16
TEST_2 125.46 18.8 2.2e-16
TEST_3 263.65 18.8 2.2e-16
TEST_4 81.503 18.8 8.763e-10
TEST_5 36.616 18.8 0.008178
我尝试使用这行代码,但结果并不好。
ETS_RESIDUALS %>%
stringr::str_replace_all("(\\S+) =", "`\\1` =") %>%
paste0("data.frame(", ., ", check.names = FALSE)")
任何人都可以帮助我使用此代码吗?
最佳答案
library(dplyr)
library(tidyr)
library(stringr)
#separate based on ,
separate(data.frame(mat), mat ,into = c('Q*','df','p-value'),sep = ',') %>%
mutate_all(~str_extract(.,'(?<=\\=|\\<\\s).*')) %>%
#Use positive look-behind to extract everything after = or < followed by a space
mutate(TEST=paste0('TEST_',1:n())) %>% select(TEST,everything())
TEST Q* df p-value
1 TEST_1 161.83 18.8 2.2e-16
2 TEST_2 125.46 18.8 2.2e-16
3 TEST_3 263.65 18.8 2.2e-16
4 TEST_4 81.503 18.8 8.763e-10
5 TEST_5 36.616 18.8 0.008178
数据
mat <- structure(c("Q* = 161.83, df = 18.8, p-value < 2.2e-16", "Q* = 125.46, df = 18.8, p-value < 2.2e-16", "Q* = 263.65, df = 18.8,
p-value < 2.2e-16", "Q* = 81.503, df = 18.8, p-value = 8.763e-10", "Q* = 36.616, df = 18.8, p-value = 0.008178"),
.Dim = c(5L, 1L))
关于r - 提取文本并放入表格,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/55761411/