dfDistributionData: Heteroscedastic distribution data
In antononcube/QRMon-R: Quantile Regression Monad
Description
The data is generated with the code:
xs <- seq(-3, 3, 0.01)
dfDistributionData <- purrr::map_df( xs, function(x) { data.frame( X = x, Y = exp(-x^2) + rnorm( n = 1, mean = 0, sd = 0.15 * sqrt( abs( 1.5 - x) / 1.5 ) ) ) }).
Usage
1
Format
A data frame with 601 rows and 2 columns.
- X
x-coordinate
- Y
y-coordinate
antononcube/QRMon-R documentation built on July 26, 2021, 1:07 p.m.
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Description
The data is generated with the code:
xs <- seq(-3, 3, 0.01)
dfDistributionData <- purrr::map_df( xs, function(x) { data.frame( X = x, Y = exp(-x^2) + rnorm( n = 1, mean = 0, sd = 0.15 * sqrt( abs( 1.5 - x) / 1.5 ) ) ) }).
Usage
1 |
Format
A data frame with 601 rows and 2 columns.
- X
x-coordinate
- Y
y-coordinate
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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