#
# _oo0oo_
# o8888888o
# 88" . "88
# (| -_- |)
# 0\ = /0
# ___/`---'\___
# .' \\| |# '.
# / \\||| : |||# \
# / _||||| -:- |||||- \
# | | \\\ - #/ | |
# | \_| ''\---/'' |_/ |
# \ .-\__ '-' ___/-. /
# ___'. .' /--.--\ `. .'___
# ."" '< `.___\_<|>_/___.' >' "".
# | | : `- \`.;`\ _ /`;.`/ - ` : | |
# \ \ `_. \_ __\ /__ _/ .-` / /
# =====`-.____`.___ \_____/___.-`___.-'=====
# `=---='
#
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# 佛祖保佑 永无BUG
#
# 天津师范大学 心理与行为研究院 近红外组
# 夏骁凯 编写
# 有问题请联系 dddd1007@gmail.com
convert_stat <- function(x = NA){
if(is.na(x)) stop("Please input your filename!")
rawfile <- readr::read_delim(x, delim = ";", col_names = FALSE, skip = 8)
row_num <- nrow(rawfile)
temptable <- as.data.frame(matrix(0, nrow = row_num, ncol = 3))
colnames(temptable) <- c("CH", "Beta", "T-statistics")
for(i in 1 : row_num){
a <- str_split(rawfile$X1[i], pattern = ":")
b <- str_split(a[[1]][1], pattern = " ")
c <- str_split(a[[1]][2], pattern = ", ")
temptable[i,1] <- as.numeric(b[[1]][2])
temptable[i,2] <- as.numeric(c[[1]][1])
temptable[i,3] <- as.numeric(c[[1]][2])
}
temptable <- na.omit(temptable)
return(temptable)
}
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