RMSE: Root mean square error (RMSE)
In ds420/CETYGO: Quantifying the accuracy of cellular deconvolution
RMSE R Documentation
Root mean square error (RMSE)
Description
Calculates the root mean squared error from two vectors of observed
and expected data.
Assumes the two vectors are of the same length and that the pairs are
the same order.
Usage
RMSE(m, o)
Arguments
m
A vector of expected values
o
A vector sof observed values expected to be the same length as m
Value
the root mean square error calculated from the two input vectors
Examples
expected <- c(0.4, 0.5, 0.2)
observed <- c(0.38, 0.47, 0.25)
ds420/CETYGO documentation built on July 7, 2023, 12:16 a.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.
| RMSE | R Documentation |
Root mean square error (RMSE)
Description
Calculates the root mean squared error from two vectors of observed and expected data. Assumes the two vectors are of the same length and that the pairs are the same order.
Usage
RMSE(m, o)
Arguments
m |
A vector of expected values |
o |
A vector sof observed values expected to be the same length as m |
Value
the root mean square error calculated from the two input vectors
Examples
expected <- c(0.4, 0.5, 0.2)
observed <- c(0.38, 0.47, 0.25)
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.