如何修复为R中的列返回na的factor（）函数_R

如何修复为R中的列返回na的factor（）函数

如何修复为R中的列返回na的factor（）函数,r,R,我正在创建一个基于客户工资5万英镑的培训数据集。然而，我遇到了R中factor（）函数的一个问题，它将所有工资值替换为NA newURL1 <- "https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.data" customer <- read.table(newURL1,sep=",",header=FALSE,na.strings="?") names(customer) <- c("I

我正在创建一个基于客户工资5万英镑的培训数据集。然而，我遇到了R中factor（）函数的一个问题，它将所有工资值替换为NA

newURL1 <- "https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.data"
customer <- read.table(newURL1,sep=",",header=FALSE,na.strings="?")
names(customer) <- c("ID","workclass","fnlwgt","education","education-num", "marital-Status","occupation","relationship","race","sex","capital-gain","capital-loss","hours-per-week","native-country","wage")
dfCustomer <- customer[-1] #get rid of id column
dfCustomer$wage <- factor(dfCustomer$wage,levels=c(2,4),labels=c("<=50K",">50K"))

运行之后，当您调用

factor（）

时，它应该在工资下显示“50K”作为值，为什么要提供

级别=

？如果您不考虑这一点，您应该可以。

级别（dfCustomer$wage）

产生

[1]“50K”

（注意前导空格）。当您调用

factor（）

时分配

“为什么要提供级别=
？如果您不使用该选项，您应该可以。级别（dfCustomer$wage）
产生[1]“50K”
（请注意前导空格）。分配时
          workclass fnlwgt  education education-num      marital-Status         occupation   relationship   race     sex capital-gain capital-loss hours-per-week native-country wage
1         State-gov  77516  Bachelors            13       Never-married       Adm-clerical  Not-in-family  White    Male         2174            0             40  United-States <NA>
2  Self-emp-not-inc  83311  Bachelors            13  Married-civ-spouse    Exec-managerial        Husband  White    Male            0            0             13  United-States <NA>
3           Private 215646    HS-grad             9            Divorced  Handlers-cleaners  Not-in-family  White    Male            0            0             40  United-States <NA>
4           Private 234721       11th             7  Married-civ-spouse  Handlers-cleaners        Husband  Black    Male            0            0             40  United-States <NA>
5           Private 338409  Bachelors            13  Married-civ-spouse     Prof-specialty           Wife  Black  Female            0            0             40           Cuba <NA>
6           Private 284582    Masters            14  Married-civ-spouse    Exec-managerial           Wife  White  Female            0            0             40  United-States <NA>