strat_stats: Get summary statistics on a vector of numbers, stratified by...
In jgrevel/BAST1-R-Library: BAST R function library.

Description Usage Arguments Details Value Author(s) Examples

Gives basic statistics for a data item da (ignores NAs), within different levels id.
WARNING - If data is very large, function can encounter serious rounding issues!

1	strat_stats(id, da, quantiles = NULL)

`id`	vector of any type (except factor) to describe the various levels, with same length as da.
`da`	numeric vector of data.
`quantiles`	numeric. Between 0 and 1 to determine 0% - 100% quantile for each id.

Returned data frame contains the following:

id: level identifier.
n: number of items in level.
min: minimum value of da in level.
max: maximum value of da in level.
sum: sum of values of da in level.
mean: mean value of da in level.
median: median value of da in level.
SD: standard deviation value of da in level.
pct_n%: specified quantiles of levels.

A data frame with a row for each level (see Details).

Aaron Hayman

 # Want to compare weights of different animals from the following data frame:

 # ANIMAL   WEIGHT
 # Chicken  3.0
 # Cat	    4.2
 # Cat	    3.1
 # Dog	    12.8
 # Cat	    6.1
 # Dog	    20.4
 # Cat	    2.3

 id = c("Chicken", "Cat", "Cat", "Dog", "Cat", "Dog", "Cat")
 da = c(3.0, 4.2, 3.1, 12.8, 6.1, 20.4, 2.3)
 strat_stats(id,da)

 #        id n  min  max  sum   mean median       SD
 # 1     Cat 4  2.3  6.1 15.7  3.925   3.65 1.645955
 # 2 Chicken 1  3.0  3.0  3.0  3.000   3.00      NaN
 # 3     Dog 2 12.8 20.4 33.2 16.600  16.60 5.374012