试图用数值替换数据框中的字符值，错误“无效因子级别，NA生成”答案

【问题标题】：Attempting to replace character value in dataframe with numeric value , Error " invalid factor level, NA generated"试图用数值替换数据框中的字符值，错误“无效因子级别，NA生成”
【发布时间】：2015-01-03 00:31:33
【问题描述】：

我正在尝试进行一些预处理，并希望将 classe 因子值 {A,B,C,D,E} 转换为 {1,2,3,4,5}。

classe 列的类型是factor，我已经提供了所有步骤，见下文：

    #get the data
    training <- read.table("http://d396qusza40orc.cloudfront.net/predmachlearn/pml-training.csv",header=TRUE, sep=",", na.strings="NA", dec=".", strip.white=TRUE)
    training_df <- data.frame(training,stringsAsFactors=FALSE)

    #split to training & test sets
    inTrain <- createDataPartition(y=training$classe, p=0.75, list=FALSE)
    training_data <- training[inTrain,]
    testing_data <- training[-inTrain,]

    #subset based on columns of interest, based on previous studies
    training_data_subset <- subset(training_data, select=c("avg_roll_belt","var_roll_belt","var_total_accel_belt","amplitude_roll_belt","max_roll_belt","var_roll_belt",
    "var_accel_arm","magnet_arm_x","magnet_arm_y","magnet_arm_z","accel_dumbbell_y","accel_dumbbell_z","magnet_dumbbell_x","gyros_dumbbell_x",
    "gyros_dumbbell_y","gyros_dumbbell_z","pitch_forearm","gyros_forearm_x","gyros_forearm_y","classe"))

    #see which columns are factors, the training_data_subset#classe feature is a factor
    sapply(training_data_subset, class)

#sapply output

 avg_roll_belt        var_roll_belt var_total_accel_belt  amplitude_roll_belt        max_roll_belt 
           "numeric"            "numeric"            "numeric"            "numeric"            "numeric" 
     var_roll_belt.1        var_accel_arm         magnet_arm_x         magnet_arm_y         magnet_arm_z 
           "numeric"            "numeric"            "integer"            "integer"            "integer" 
    accel_dumbbell_y     accel_dumbbell_z    magnet_dumbbell_x     gyros_dumbbell_x     gyros_dumbbell_y 
           "integer"            "integer"            "integer"            "numeric"            "numeric" 
    gyros_dumbbell_z        pitch_forearm      gyros_forearm_x      gyros_forearm_y               classe 
           "numeric"            "numeric"            "numeric"            "numeric"             "factor"

我创建了一个尝试替换 A=1,B=2,C=3,D=4,E=5 的函数，见下文：

factorsToNumeric <- function(data)
{
    data_numeric <- data
    data_numeric$classe <-as.numeric(factor(toupper(as.character(data_numeric$classe))))
    #loop through the data frame based on replace values
    for(i in 1:nrow(data_numeric)) 
    {

    if ((data_numeric[i,]$classe == "A") || (data_numeric[i,]$classe  == "a")) 
    {data_numeric[i,]$classe <- "1"}
    else if ((data_numeric[i,]$classe  == "B") || (data_numeric[i,]$classe  == "b"))
    {data_numeric[i,]$classe <- "2"}
    else if ((data_numeric[i,]$classe  == "C") || (data_numeric[i,]$classe  == "c"))
    {data_numeric[i,]$classe <- "3"}
    else if ((data_numeric[i,]$classe  == "D") || (data_numeric[i,]$classe  == "d"))
    {data_numeric[i,]$classe <- "4"}
    else if ((data_numeric[i,]$classe  == "E") || (data_numeric[i,]$classe  == "e"))
    {data_numeric[i,]$classe <- "5"}
    else 
    {
    #do nothing 
    }

    }

    return (data_numeric)
}

但是，我收到此错误：

training_data_subset_numeric <- factorsToNumeric(training_data_subset)

错误：

Warning messages:
1: In `[<-.factor`(`*tmp*`, iseq, value = "1") :
  invalid factor level, NA generated
2: In `[<-.factor`(`*tmp*`, iseq, value = "1") :
  invalid factor level, NA generated
3: In `[<-.factor`(`*tmp*`, iseq, value = "1") :
  invalid factor level, NA generated
4: In `[<-.factor`(`*tmp*`, iseq, value = "1") :
  invalid factor level, NA generated
5: In `[<-.factor`(`*tmp*`, iseq, value = "1") :
  invalid factor level, NA generated
6: In `[<-.factor`(`*tmp*`, iseq, value = "1") :
  invalid factor level, NA generated
7: In `[<-.factor`(`*tmp*`, iseq, value = "1") :
  invalid factor level, NA generated
8: In `[<-.factor`(`*tmp*`, iseq, value = "1") :
  invalid factor level, NA generated
9: In `[<-.factor`(`*tmp*`, iseq, value = "1") :
  invalid factor level, NA generated

进一步检查显示列“classe”的类被转换为“numeric”：

 sapply(training_data_subset_numeric, class)

 avg_roll_belt        var_roll_belt var_total_accel_belt  amplitude_roll_belt        max_roll_belt 
       "numeric"            "numeric"            "numeric"            "numeric"            "numeric" 
 var_roll_belt.1        var_accel_arm         magnet_arm_x         magnet_arm_y         magnet_arm_z 
       "numeric"            "numeric"            "integer"            "integer"            "integer" 
accel_dumbbell_y     accel_dumbbell_z    magnet_dumbbell_x     gyros_dumbbell_x     gyros_dumbbell_y 
       "integer"            "integer"            "integer"            "numeric"            "numeric" 
gyros_dumbbell_z        pitch_forearm      gyros_forearm_x      gyros_forearm_y               classe 
       "numeric"            "numeric"            "numeric"            "numeric"            "numeric"

但是，head 函数确认了上述错误，并且所有值 A、B、C、D、E 已错误地替换为 NA。

【问题讨论】：

你可以试试下面的方法training_data_subset$classe <- as.numeric(factor(toupper(as.character(training_data_subset$classe))))
你误会了。该代码应该替换替换函数。

标签： r

【解决方案1】：

因素并非如此。您不能像其他数据类型一样使用简单的<- 赋值来更改值。有几种不同的方法可以改变一个因素。这是使用levels<- 替换功能的一种方法。

这里是您的大量数据中的一个样本，这些数据需要很长时间才能读取：) 对于这些数据来说，这很容易，因为级别的顺序已经正确。

set.seed(2)
x <- sample(training$classe, 20)
x
# [1] A D C A E E A E B C C A D A B E E A B A
# Levels: A B C D E
levels(x) <- 1:5
x
# [1] 1 4 3 1 5 5 1 5 2 3 3 1 4 1 2 5 5 1 2 1
# Levels: 1 2 3 4 5

所以不需要你的函数。你可以简单地做

levels(training$classe) <- 1:5

我们可以看到新列的str 显示了更改的值

str(training$classe)
# Factor w/ 5 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...

请注意，对于这种简单的情况，as.integer(training$classe) 也可以使用。虽然大多数时候不会那么容易。

【讨论】：

【解决方案2】：

如果要转换training_data_subset 的classe 列，则不需要定义自己的函数。您可以使用LETTERS 向量：

sapply(training_data_subset[,'classe'], function(x) which(LETTERS==x))

【讨论】：