R contains all the basic tools for calculating summary statistics of your data: many of them are listed in the R reference cards. If you have NAs in your data you will often have to specify na.rm = TRUE (e.g., mean(x, na.rm = TRUE)) if you want R to ignore them.

• mean(), median(), sum(), var(), min(), max(), range() should all be reasonably self-explanatory
• cor(), cov() calculate covariances and correlations
• mad() calculates the mean absolute deviation
• quantile() computes various quantiles of your data
• for numeric variables, summary() computes min/max/1st and 3d quantiles/median/mean.
• See the Modal Value page for calculating the modal value (mode).

If you are looking for t-tests, ANOVAs, linear regression, etc., see Inference or Models.

• modalvalue