Error in 1:t : NA/NaN argument In addition: Warning message: In 1:t : numerical expression has 9 elements: only the first used

这个错误可能是因为你在使用一个需要数值向量的函数时，向其中传递了一个 NA 或 NaN 的参数，导致了错误。另外，警告信息提示你的参数向量长度只有 9，但只使用了第一个元素。

你可以检查一下你的代码，找出哪个函数调用了 NA 或 NaN 的参数，然后修复它。你也可以检查一下你传递给函数的参数是否正确，长度是否正确。

相关问题

Error in 1:out_dw : NA/NaN argument In addition: Warning message: In 1:out_dw : numerical expression has 3 elements: only the first used

这个错误提示意味着在你的代码中，1:out_dw这段代码中可能出现了NA或NaN值导致计算出错。另外，警告信息表示这个代码段只使用了前三个元素，可能存在数据不完整的情况。

你可以尝试检查一下1和out_dw的值是否存在空值或非数值的情况，或者查看代码中是否存在其他影响计算的错误。另外，你也可以尝试使用debugger或print语句来定位问题所在。

Error in subset.default(df, select = -c(which(colSums(is.na(df)) == nrow(df)))) : argument "subset" is missing, with no default

This error message suggests that the function subset() is being called without the required argument "subset". In addition, the select argument seems to be incorrect as well.

To fix this error, the subset argument should be specified to indicate which rows to keep in the data frame. The select argument can be used to indicate which columns to keep. Here's an example:

# create a sample data frame with missing values
df <- data.frame(a = c(1, 2, NA, 4), b = c(5, NA, 7, 8), c = c(NA, 10, 11, 12))

# remove columns with all missing values
df <- subset(df, select = -which(colSums(is.na(df)) == nrow(df)))

# remove rows with any missing values
df <- subset(df, subset = complete.cases(df))

In this example, we first remove columns with all missing values using the colSums() function and the which() function to identify the indices of the columns to remove. We then use the subset() function to remove any rows with missing values by specifying the subset argument as complete.cases(df).