两个样本t test/txt文件数据集的错误消息
在我的数据集上使用 t.test() 后，我收到一条错误消息。数据集是一个txt文件，t.test函数在其他类型的数据集（如dat和csv）上运行良好
这是我的代码：
petro <- read.table(file.choose(), header = TRUE, sep = "\t")
head(petro)
# two independent sample t test
t.test(petro$Canberra, petro$Perth, var.equal = TRUE)
运行t.test函数后，错误消息如下：
*Error in if (stderr < 10 * .Machine$double.eps * abs(mx)) stop("data are essentially constant") :
missing value where TRUE/FALSE needed
In addition: Warning messages:
1: In mean.default(x) : argument is not numeric or logical: returning NA
2: In var(x) : NAs introduced by coercion*
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I got an error message after I used t.test() on my datasets. The dataset is a txt file, the t.test function works well on other types of datasets like dat and csv
Here's my code:
petro <- read.table(file.choose(), header = TRUE, sep = "\t")
head(petro)
# two independent sample t test
t.test(petro$Canberra, petro$Perth, var.equal = TRUE)
After I run the t.test function, the error message was like:
*Error in if (stderr < 10 * .Machine$double.eps * abs(mx)) stop("data are essentially constant") :
missing value where TRUE/FALSE needed
In addition: Warning messages:
1: In mean.default(x) : argument is not numeric or logical: returning NA
2: In var(x) : NAs introduced by coercion*
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