quart: Compute several levels of quantiles and interquartile range
In spreval: Evaluation of Sprinkler Irrigation Uniformity and Efficiency
quart R Documentation
Compute several levels of quantiles and interquartile range
Description
generates quantiles at 0.1, 1,5,10-90, 95, 99, 99,9 percentiles.
Usage
quart(x)
Arguments
x
numeric array
Details
Uses 'stats::quantile'
Value
named list with following items:
q
quantiles at 0.1, 1,5,10-90, 95, 99, 99,9 percentiles
d
interquartile range - i.e., 75th quantile minus 25th quantile
Author(s)
Garry Grabow glgrabow@ncsu.edu
See Also
quantile,eda.stats
Examples
# quantiles for random normal data
x<-rnorm(25,10,1)
xn<-quart(x)
spreval documentation built on March 24, 2022, 1:06 a.m.
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| quart | R Documentation |
Compute several levels of quantiles and interquartile range
Description
generates quantiles at 0.1, 1,5,10-90, 95, 99, 99,9 percentiles.
Usage
quart(x)
Arguments
x |
numeric array |
Details
Uses 'stats::quantile'
Value
named list with following items:
q |
quantiles at 0.1, 1,5,10-90, 95, 99, 99,9 percentiles |
d |
interquartile range - i.e., 75th quantile minus 25th quantile |
Author(s)
Garry Grabow glgrabow@ncsu.edu
See Also
quantile,eda.stats
Examples
# quantiles for random normal data x<-rnorm(25,10,1) xn<-quart(x)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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