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How to check if entire vector has no values other than NA (or NAN) in R ?
If I use is.na it returns a vector of TRUE / FALSE.
I need to check if there is single not NA element or not.
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However, if we try to run an invalid computation (e.g. 0 / 0), R returns NaN: If we have a complex vector, data frame or matrix, it might be complicated to identify the NaN values in our data. In such a case, we can apply the is.nan function. The is.nan function returns a logical vector or matrix, which indicates the NaN positions in our data.
If we have a complex vector, data frame or matrix, it might be complicated to identify the NaN values in our data. In such a case, we can apply the is.nan function. The is.nan function returns a logical vector or matrix, which indicates the NaN positions in our data.
How to check whether a vector contains an NA value or not in R? An NA value in R represents “Not Available” that means missing value. If a vector has even one NA value then the calculations for that vector becomes a little difficult because we will either have to remove that NA, replace it or neglect it during the calculations.
You can use the following syntax to return values in R that are not NA values: The following examples show how to use this syntax with both vectors and data frames in R. #create vector x <- c (1, 24, NA, 6, NA, 9) #return only values that are not NA x <- x [!is.na(x)] [1] 1 24 6 9
The function all(), when passed a Boolean vector, will tell you whether all of the values in it are TRUE:
> all(is.na(c(NA, NaN))) [1] TRUE > all(is.na(c(NA, NaN, 1))) [1] FALSE If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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