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Download Cm93 v2 2012.torrentQ:

How to reduce error margin in R?

I want to calculate the mean and std(error) of a vector, for each observation of a vector. The code is the following:
library(„dplyr“)

# Create a simple data set to use as an example
# create a vector of different length
# use mean and sd for averaging the values
# use mean and std for calculating the errors

stockData %
group_by(nRow) %>%
summarize(mean = myMean, std = myStdErr)

And the result is the following:
nRow mean std
1 NA NA
2 NA NA
3 NA NA
4 NA NA
5 NA NA
6 NA NA
7 NA NA
8 NA NA
9 NA NA
10 NA NA

However, if you notice, the mean and std in the first row and the last row are NA because I used NA.rm=T. Could you please help me in reducing that error margin to zero? The type of the variable stockData is a vector.

A:

You can use na.omit to remove NAs from the mean and std of all groups, and then bind all