在R中,colmeans 函数用于计算矩阵或数据框中每列的均值。这个函数要求输入的数据 x 必须是数值型(numeric)的。您可以使用 class(x) 或str(x) 来查看 x 的数据类型。 2. 如果'x'不是数值型,需要将其转换为数值型 如果x 不是数值型,您需要根据数据的具体情况将其转换为数值型。如果 x 是因子型(factor)或...
Error in cut.default(x,breaks=breaks,include.lowest=T):'x'must be numeric 解决办法 使用lapply函数将X变为数值型即可轻松解决问题。 TRSN.F1<-read.delim("C:/Users/Desktop/TRSN-F1.txt",encoding="UTF-8",row.names=1)##数据处理heatmap_data1_num<-as.data.frame(lapply(TRSN.F1,function(x...
我注意到你用了两个数据框来代替参数x和y，似乎这两个参数应该是数据框中的两个变量而非两个数据框...
This tutorial shows how todebug the “Error in colMeans(x, na.rm = TRUE) : ‘x’ must be numeric”inthe R programming language. The post is structured as follows: 1)Creating Example Data 2)Example 1: Reproduce the Error in colMeans(x, na.rm = TRUE) : ‘x’ must be numeric ...
hist.default(test) : 'x' must be numeric #这个时候你用as.numeric（）转换 test <- as.numeric...
num course 1 77 DSA 2 55 C++ 3 80 R 4 60 Python Error in hist.default(val[, 1]): 'x' must be numeric Traceback: 在上面的示例中,我们已经看到,当我们尝试绘制 hist 时,由于字符串数据会产生错误,这意味着直方图必须是数字数据。 如何解决此错误: ...
get the “error in colmeans(x, na.rm = true) : ‘x’ must be numeric” error message if one of your columns has characters or other non-numeric values. Fortunately, there is a simple solution for fixing this problem. It simply involves translating a factor variable into a numeric ...
Example 1: Reproduce the Error in hist.default(X) : ‘x’ must be numeric In this example, I’ll illustrate how to replicate the error message in hist.default(X) : ‘x’ must be numeric. Consider that we want toapply the hist functionto our random data: ...
I'm trying to execute a Principal Components Analysis, but I'm getting the error: Error in colMeans(x, na.rm = TRUE) : 'x' must be numeric I know all the columns have to be numeric, but how to handle when you have character objects in the data set? E.g:...
I ran into Error in cut.default(ts, breaks = breaks) : 'x' must be numeric error if using a data frame where the first column -- the time component -- is named differently than "HEADER_TIME_STAMP". Note the documentation does not mention...