stats {funfits} | R Documentation |
Stats breaks x up into separate data sets and then calls describe to calculate the statistics. The default set of statistics are the number of (nonmissing) observations, mean, standard deviation, minimum, lower quartile, median, upper quartile, maximum, and number of missing observations. If any data set is nonnumeric, missing values are returned for the statistics. The by argument is a useful way to calculate statistics on parts of a data set according to different cases.
stats(x, by)
x |
The data structure to compute the statistics. This can either be a vector, matrix (data sets are the columns), or a list (data sets are the components). |
by |
If x is a vector, an optional vector
specifying the categories to divide x into separate data sets.
|
A matrix where rows index the summary statistics and the columns index the separate data sets.
describe
Statistics for a normal random sample of 200 observations: rnorm(200) -> zork stats(zork) -> look look Summary statistics for the components of the climate data: stats(climate) -> look look Just list the means of the climate variables (second row of look): look[2,] Statistics for the actuator thrust by pressure level (there are 10 different pressure levels). stats(actuator.calibrate$force,by=actuator.calibrate$pressure)