Calculates the five number summary of a vector of data or of each column of a matrix of data, using the estimators of the lower quartile, median and upper quartile in the STAT002 notes.
Details
The five number summary contains the sample minimum and maximum and
estimates of the lower quartile, median and upper quartile, i.e. the
25%, 50% and 75% quantiles. These quantiles are estimated using the
quantile
function. By default, type = 6
is
used in the call to quantile
in order to use the estimator defined
in the STAT002 notes.
See also
quantile
for calculating sample quantiles.
Examples
birth_times <- ox_births[, "time"]
five_number(birth_times)
#> min 25% 50% 75% max
#> 1.50 4.90 7.50 9.75 19.00
# Note: summary() uses type = 7 in the call to quantile()
five_number(birth_times, type = 7)
#> min 25% 50% 75% max
#> 1.50 4.95 7.50 9.75 19.00
summary(birth_times)
#> Min. 1st Qu. Median Mean 3rd Qu. Max.
#> 1.500 4.950 7.500 7.723 9.750 19.000