In R, how to find the standard error of the mean?

r statistics
alex picture alex · Apr 20, 2010 · Viewed 352.7k times · Source

Is there any command to find the standard error of the mean in R?

Answer

Ian Fellows picture Ian Fellows · Apr 20, 2010

The standard error is just the standard deviation divided by the square root of the sample size. So you can easily make your own function:

> std <- function(x) sd(x)/sqrt(length(x))
> std(c(1,2,3,4))
[1] 0.6454972

Related questions

How to remove outliers from a dataset

I've got some multivariate data of beauty vs ages. The ages range from 20-40 at intervals of 2 (20, 22, 24....40), and for each record of data, they are given an age and a beauty rating from 1-5. When I do boxplots of this …

Read More
How to find the statistical mode?

In R, mean() and median() are standard functions which do what you'd expect. mode() tells you the internal storage mode of the object, not the value that occurs the most in its argument. But is there is a standard library …

Read More
How to calculate the 95% confidence interval for the slope in a linear regression model in R

Here is an exercise from Introductory Statistics with R: With the rmr data set, plot metabolic rate versus body weight. Fit a linear regression model to the relation. According to the fitted model, what is the predicted metabolic rate for …

Read More