R：识别并删除列名无效的列

Question

有没有办法识别 R 中的无效列名？也许使用正则表达式或其他技术。

我正在从文本列生成 DocumentTermMatrix (DTM)，然后将此 DTM 转换为数据框。我最终得到名称无效的列。例如

“node”“CLASS”“️️️️”“️️️”“de”“des”“ je devais”“夜”“她的眼睛”“ cpas chaud”“郁郁葱葱的化妆品”“  我看到了"

当我将此数据集传递给 mlr::makeClassificationTask 时，我收到以下错误消息

makeClassifTask(data = dat, target = "CLASS") 中的错误： “数据”断言失败：列必须根据 R 的变量命名规则命名。

因此，我想识别并删除所有名称无效的列。像

invalidColumnNames <- identify indexes of columns with invalid names
dat <- dat[,-invalidColumnNames]

可重现示例的数据：

cols <- c("node", "CLASS", "️️️️", "️️️", " de", " des", 
" kmh", " points", " zéro", "\u2615️\u2615️", "\u2615️", 
"\u2693️\u2693️", "\u26f5️\u2693️", "\u2728\u2728\u2728\u2728\u2728", 
"aaliassime", "aaron", "abaixoassinado", "abandono", "abat", 
"abattu", "abiertamente", "abierto", "abit", "able", "abomination", 
"abonnements", "abonnés", "abonnez", "abraham", "absolutely", 
"abstract", "abused", "acaba", "acabar", "acabo", "acadiebathurst", 
"acaï", "acc", "accept", "accèsloisirs", "access", "accessible", 
"accessories", "accident", "accidentally", "acción", "acciones", 
"accommodationsreligious", "accompli", "accomplie", "accomplir", 
"accorde", "accordent", "account", "accounts", "accro", "accueil", 
"accueille", "accueillir", "accurate", "accusé", "accusent", 
"acérées", "acériculteur", "acha", "achat", "achei", "acheté", 
"acheter", "acho", "acidités", "acknowledge", "acontecem", "acordei", 
"acquis", "across", "action", "activité", "activités", "actresses", 
"actualité", "actuel", "adam", "adaptation", "adapter", "added", 
"addicive", "addicted", "addition", "additives", "addressed", 
"adds", "adeus", "adjoint", "adjointeadministrative", "adjust", 
"administratives", "adopción", "adopté", "adorable")

期望的结果：

"node", "CLASS", " de", " des", 
" kmh", " points", " zéro", "aaliassime", "aaron", 
"abaixoassinado", "abandono", "abat", 
"abattu", "abiertamente", "abierto", "abit", "able", "abomination", 
"abonnements", "abonnés", "abonnez", "abraham", "absolutely", 
"abstract", "abused", "acaba", "acabar", "acabo", "acadiebathurst", 
"acaï", "acc", "accept", "accèsloisirs", "access", "accessible", 
"accessories", "accident", "accidentally", "acción", "acciones", 
"accommodationsreligious", "accompli", "accomplie", "accomplir", 
"accorde", "accordent", "account", "accounts", "accro", "accueil", 
"accueille", "accueillir", "accurate", "accusé", "accusent", 
"acérées", "acériculteur", "acha", "achat", "achei", "acheté", 
"acheter", "acho", "acidités", "acknowledge", "acontecem", "acordei", 
"acquis", "across", "action", "activité", "activités", "actresses", 
"actualité", "actuel", "adam", "adaptation", "adapter", "added", 
"addicive", "addicted", "addition", "additives", "addressed", 
"adds", "adeus", "adjoint", "adjointeadministrative", "adjust", 
"administratives", "adopción", "adopté", "adorable"

非常感谢任何帮助。

Answer 1

也许你可以试试这个新包：

library(janitor) newdataobject <- read.csv("yourcsvfilewithpath.csv", header=T) %>% clean_names()

Answer 2

请参阅?make.names 了解此类情况。我还要删除变量开头和结尾的空格，所以：

cols <- trimws(cols)
cols[make.names(cols)==cols]

# [1] "node"  "CLASS"   "de"    "des"                    
# [5] "kmh"   "points"  "zéro"  "aaliassime" ...