问题描述
我试图在Latex中绘制一个图表,以显示不同机器学习方法的灵活性和可解释性之间的交易。我在这个问题上附加了精确图形的图像。我正在努力获取有关如何使用乳胶创建此图的信息。任何帮助将不胜感激。
解决方法
我的草图:
df <- data.frame(email = c("[email protected]","[email protected]","[email protected]","[email protected]"))
df$firstpart <- sapply(strsplit(df$email,"@"),function (x) {
x[1]
})
df$secondpart <- strsplit(sapply(strsplit(df$email,function (x) {
x[2]
}),"[.][[:alpha:]]+$")
df$thirdpart <- sapply(seq_len(nrow(df)),function (x) {
gsub(paste0(df$part1[x],"@",df$part2[x],"."),"",df$email[x])
})
df
# email firstpart secondpart thirdpart
# 1 [email protected] example1 gmail example1mail.com
# 2 [email protected] example2 outlook example2utlook.org
# 3 [email protected] example3 comcast example3omcast.net
# 4 [email protected] example4 us.army example4s.army.mil
及其输出: