mean_diff_log10: Compute the average differences of base-10 logs
In wfarmer-usgs/PUBAD: Appliles and Analyzes Several Methods for Prediction in Ungaged Basins
Description
Usage
Arguments
Details
Value
View source: R/mean_diff_log10.R
Description
The function mean_diff_log10 computes the average differences of
the base-10 logs of the rows or columns of a matrix.
Usage
1
mean_diff_log10(Obs, Est, MARGIN = 2)
Arguments
Obs
A matrix of observations.
Est
A matrix of estimates. Must be of the same dimensions as
Obs.
MARGIN
(optional) The margin across which to compute the
differences. The default is to compute mean differences for each column
(MARGIN=2).
Details
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Value
A vector of average differences of base-10 logs.
wfarmer-usgs/PUBAD documentation built on May 4, 2019, 5:21 a.m.
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Description Usage Arguments Details Value
View source: R/mean_diff_log10.R
Description
The function mean_diff_log10 computes the average differences of
the base-10 logs of the rows or columns of a matrix.
Usage
1 | mean_diff_log10(Obs, Est, MARGIN = 2)
|
Arguments
Obs |
A matrix of observations. |
Est |
A matrix of estimates. Must be of the same dimensions as
|
MARGIN |
(optional) The margin across which to compute the
differences. The default is to compute mean differences for each column
( |
Details
Lorem ipsum...
Value
A vector of average differences of base-10 logs.
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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