如何从 r 中的线性预测变量中获取名称
How to get names from linear predictor in r
晚上,
我正在尝试从以下形式的对象中获取要添加到数据框中的名称
regressors <- ~ log(Rate) + Weed + Monocot + Warm + Stage + Method
我想要各个回归变量的名称,例如
c("log(Rate)", "Weed",...)
所以我可以在数据框中使用它们而无需手动操作。
提前致谢。
vars <- as.character(regressors)[[2]]
names_vars <- strsplit(vars, "\s\+\s")[[1]] # split at + preceded and followed by a space.
## [1] "log(Rate)" "Weed" "Monocot" "Warm" "Stage" "Method"
all.vars
函数可以拯救,尽管它从变量中删除函数名称,例如从 log(Rate)
.
中删除 log
all.vars(regressors)
[1] "Rate" "Weed" "Monocot" "Warm" "Stage" "Method"
你是这个意思吗?
attr(terms(regressors), "term.labels")
#> [1] "log(Rate)" "Weed" "Monocot" "Warm" "Stage" "Method"
晚上,
我正在尝试从以下形式的对象中获取要添加到数据框中的名称
regressors <- ~ log(Rate) + Weed + Monocot + Warm + Stage + Method
我想要各个回归变量的名称,例如
c("log(Rate)", "Weed",...)
所以我可以在数据框中使用它们而无需手动操作。
提前致谢。
vars <- as.character(regressors)[[2]]
names_vars <- strsplit(vars, "\s\+\s")[[1]] # split at + preceded and followed by a space.
## [1] "log(Rate)" "Weed" "Monocot" "Warm" "Stage" "Method"
all.vars
函数可以拯救,尽管它从变量中删除函数名称,例如从 log(Rate)
.
log
all.vars(regressors)
[1] "Rate" "Weed" "Monocot" "Warm" "Stage" "Method"
你是这个意思吗?
attr(terms(regressors), "term.labels")
#> [1] "log(Rate)" "Weed" "Monocot" "Warm" "Stage" "Method"