weighted.quantile: Quantiles of a weighted cdf
In modi: Multivariate outlier detection and imputation for incomplete survey data
Description
Usage
Arguments
Details
Value
Note
Author(s)
See Also
Examples
View source: R/weighted.quantile.R
Description
A weighted cdf is calculated and quantiles are evaluated. Missing values are discarded.
Usage
1
weighted.quantile(x, w, prob = 0.5, plot = FALSE)
Arguments
x
vector of data
w
vector of (sampling) weights
prob
The probability for the quantile
plot
if TRUE the weighted cdf is plotted
Details
Weighted linear interpolation in case of non-unique inverse. Gives a warning when the contribution of the weight of the smallest observation to the total weight is larger than prob.
Value
The quantile for proporiont prob.
Note
No variance calculation.
Author(s)
Beat Hulliger
See Also
Examples
1
2
3
4
x<-rnorm(100)
x[sample(1:100,20)]<-NA
w<-rchisq(100,2)
weighted.quantile(x,w,0.2,TRUE)
modi documentation built on May 2, 2019, 6:48 p.m.
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.
Description Usage Arguments Details Value Note Author(s) See Also Examples
View source: R/weighted.quantile.R
Description
A weighted cdf is calculated and quantiles are evaluated. Missing values are discarded.
Usage
1 | weighted.quantile(x, w, prob = 0.5, plot = FALSE)
|
Arguments
x |
vector of data |
w |
vector of (sampling) weights |
prob |
The probability for the quantile |
plot |
if |
Details
Weighted linear interpolation in case of non-unique inverse. Gives a warning when the contribution of the weight of the smallest observation to the total weight is larger than prob.
Value
The quantile for proporiont prob.
Note
No variance calculation.
Author(s)
Beat Hulliger
See Also
Examples
1 2 3 4 | x<-rnorm(100)
x[sample(1:100,20)]<-NA
w<-rchisq(100,2)
weighted.quantile(x,w,0.2,TRUE)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.