calcScalingStats: Returns mean and sd values of the predictors which can be...
In environmentalinformatics-marburg/Rainfall: Functions for training, predictiion and validation of an MSG based optical rainfall retrieval
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Returns mean and sd values of the predictors which can be used for scaling
predictors used for training
Usage
1
Arguments
x
Data.frame or rasterStack of the predictors
Value
Data.frame with mean and sd values
Author(s)
Hanna Meyer
Examples
1
2
msg_example <-getChannels(inpath=system.file("extdata/msg",package="Rainfall"))
scaleparam <- calcScalingStats(msg_example)
environmentalinformatics-marburg/Rainfall documentation built on May 16, 2019, 7:49 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Returns mean and sd values of the predictors which can be used for scaling predictors used for training
Usage
1 |
Arguments
x |
Data.frame or rasterStack of the predictors |
Value
Data.frame with mean and sd values
Author(s)
Hanna Meyer
Examples
1 2 | msg_example <-getChannels(inpath=system.file("extdata/msg",package="Rainfall"))
scaleparam <- calcScalingStats(msg_example)
|
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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