如何通过仅采用此数据帧中2列的非NA值来对数据帧进行子集化

I am trying to subset a data frame by taking the integer values of 2 columns om my data frame

我试图通过在我的数据帧中取2列的整数值来对数据帧进行子集化

Subs1<-subset(DATA,DATA[,2][!is.na(DATA[,2])] & DATA[,3][!is.na(DATA[,3])])

but it gives me an error : longer object length is not a multiple of shorter object length.

但它给了我一个错误:较长的物体长度不是较短物体长度的倍数。

How can I construct a subset which is composed of NON NA values of column 2 AND column 3?

如何构建由第2列和第3列的非NA值组成的子集?

Thanks a lot?

非常感谢?

3 个解决方案

#1

Try this:

Subs1<-subset(DATA, (!is.na(DATA[,2])) & (!is.na(DATA[,3])))

The second parameter of subset is a logical vector with same length of nrow(DATA), indicating whether to keep the corresponding row.

子集的第二个参数是具有相同nrow(DATA)长度的逻辑向量,指示是否保留相应的行。

#2

Here an example. a,b ,c are 3 vectors which a and b have a missing value. once they are created i use cbind in order to bind them in one matrix which afterwards you can transform to data frame.

这是一个例子。 a,b,c是3个向量,a和b具有缺失值。一旦它们被创建,我使用cbind将它们绑定在一个矩阵中,然后你可以转换为数据帧。

The final result is a dataframe where 2 out of 3 columns have a missing value. So we need to keep only the rows with complete cases.DATA[complete.cases(DATA), ] is used in order to keep only these rows that have not missing values in every column. subset object is these rows that have complete cases.

最终结果是一个数据框,其中3列中的2列具有缺失值。因此,我们只需要保留具有完整case.DATA [complete.cases(DATA),]的行,以便仅保留每列中没有缺失值的行。子集对象是具有完整案例的这些行。

  a <- c(1,NA,2)
  b <- c(NA,1,2)
  c <- c(1,2,3)
  DATA <- as.data.frame(cbind(a,b,c))
  subset <-  DATA[complete.cases(DATA), ]

#3

The na.omit functions can be an answer to you question

na.omit函数可以回答你的问题

 Subs1 <- na.omit(DATA[2:3])

[https://stat.ethz.ch/R-manual/R-patched/library/stats/html/na.fail.html]

#1