只制作一些功能 dummyVars
Make only some features dummyVars
my_diamonds <- diamonds %>% mutate(cut = as.character(cut),
color = as.character(color),
clarity = as.character(clarity))
我想创建一个新的数据框,其中只有 cut 和 color 作为 dummyVars。
但是,我无法让下面代码中的第一个块工作:
# make cut and color dummar vars
dummy <- caret::dummyVars("cut + color",
data = my_diamonds, fullRank = F, sep = ".")
# now create the dummy vars as new dataframe training data
training_data <- predict(dummy, my_diamonds) %>% as.data.frame()
这篇文章:
# make cut and color dummar vars
dummy <- caret::dummyVars("cut + color",
data = my_diamonds, fullRank = F, sep = ".")
给出:
eval(parse(text = x, keep.source = FALSE)[[1L]]) 错误:
找不到对象 'color'。
也尝试过:
dummy <- caret::dummyVars(~ "cut + color",
data = my_diamonds, fullRank = F, sep = ".")
给出:
terms.formula(formula, data = data) 错误:
ExtractVars
中的模型公式无效
如何根据 my_diamonds 创建一个新的数据框,其中 cut 和 color 是虚拟变量?
一个小问题:~ "cut + color"
应该改为 "~ cut + color"
或者只是 ~ cut + color
:
dummy <- caret::dummyVars(~ cut + color,
data = my_diamonds, fullRank = FALSE, sep = ".")
training_data <- predict(dummy, my_diamonds) %>% as.data.frame()
head(training_data)
# cutFair cutGood cutIdeal cutPremium cutVery Good colorD colorE colorF colorG colorH colorI colorJ
# 1 0 0 1 0 0 0 1 0 0 0 0 0
# 2 0 0 0 1 0 0 1 0 0 0 0 0
# 3 0 1 0 0 0 0 1 0 0 0 0 0
# 4 0 0 0 1 0 0 0 0 0 0 1 0
# 5 0 1 0 0 0 0 0 0 0 0 0 1
# 6 0 0 0 0 1 0 0 0 0 0 0 1
my_diamonds <- diamonds %>% mutate(cut = as.character(cut),
color = as.character(color),
clarity = as.character(clarity))
我想创建一个新的数据框,其中只有 cut 和 color 作为 dummyVars。
但是,我无法让下面代码中的第一个块工作:
# make cut and color dummar vars
dummy <- caret::dummyVars("cut + color",
data = my_diamonds, fullRank = F, sep = ".")
# now create the dummy vars as new dataframe training data
training_data <- predict(dummy, my_diamonds) %>% as.data.frame()
这篇文章:
# make cut and color dummar vars
dummy <- caret::dummyVars("cut + color",
data = my_diamonds, fullRank = F, sep = ".")
给出: eval(parse(text = x, keep.source = FALSE)[[1L]]) 错误: 找不到对象 'color'。
也尝试过:
dummy <- caret::dummyVars(~ "cut + color",
data = my_diamonds, fullRank = F, sep = ".")
给出: terms.formula(formula, data = data) 错误: ExtractVars
中的模型公式无效如何根据 my_diamonds 创建一个新的数据框,其中 cut 和 color 是虚拟变量?
一个小问题:~ "cut + color"
应该改为 "~ cut + color"
或者只是 ~ cut + color
:
dummy <- caret::dummyVars(~ cut + color,
data = my_diamonds, fullRank = FALSE, sep = ".")
training_data <- predict(dummy, my_diamonds) %>% as.data.frame()
head(training_data)
# cutFair cutGood cutIdeal cutPremium cutVery Good colorD colorE colorF colorG colorH colorI colorJ
# 1 0 0 1 0 0 0 1 0 0 0 0 0
# 2 0 0 0 1 0 0 1 0 0 0 0 0
# 3 0 1 0 0 0 0 1 0 0 0 0 0
# 4 0 0 0 1 0 0 0 0 0 0 1 0
# 5 0 1 0 0 0 0 0 0 0 0 0 1
# 6 0 0 0 0 1 0 0 0 0 0 0 1