calcAcc: Calculate prediction accuracy
In ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific Cells
View source: R/MakeSigMatrix.R
calcAcc R Documentation
Calculate prediction accuracy
Description
Calculate correlation coeffifients, p-Values, MAE, RMSE for deconvolution predictions
Usage
calcAcc(estimates, reference)
Arguments
estimates
The estimated cell percentages
reference
The reference cell percentages
Value
a list with a multiple sets
Examples
estimates <- sample(c(runif(8), 0 ,0))
estimates <- 100 * estimates / sum(estimates)
reference <- sample(c(runif(7), 0 , 0, 0))
reference <- 100 * reference / sum(reference)
calcAcc(estimates, reference)
ADAPTS documentation built on Sept. 14, 2022, 9:05 a.m.
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View source: R/MakeSigMatrix.R
| calcAcc | R Documentation |
Calculate prediction accuracy
Description
Calculate correlation coeffifients, p-Values, MAE, RMSE for deconvolution predictions
Usage
calcAcc(estimates, reference)
Arguments
estimates |
The estimated cell percentages |
reference |
The reference cell percentages |
Value
a list with a multiple sets
Examples
estimates <- sample(c(runif(8), 0 ,0)) estimates <- 100 * estimates / sum(estimates) reference <- sample(c(runif(7), 0 , 0, 0)) reference <- 100 * reference / sum(reference) calcAcc(estimates, reference)
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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