plot_cond_num: create condition number plots for deconvolution results
In MarianSchoen/DMC: Comparison of different Deconvolution Models in several scenarios
View source: R/plot_cond_num.R
plot_cond_num R Documentation
create condition number plots for deconvolution results
Description
create condition number plots for deconvolution results
Usage
plot_cond_num(results.df, algorithm.order = NULL)
Arguments
results.df
data frame containing results as returned by prepare_data
algorithm.order
character vector of algorithm names
specifying the plotting order
Value
list containing 3 plots:
1) cond_num_plot - barplot of average condition numbers
2) cond_vs_score - scatter plot of
average condition number vs. score for each algorithm
3) variation_plot - scatter plot of standard deviation of
score vs. standard deviation of condition number
MarianSchoen/DMC documentation built on Aug. 2, 2022, 3:05 p.m.
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View source: R/plot_cond_num.R
| plot_cond_num | R Documentation |
create condition number plots for deconvolution results
Description
create condition number plots for deconvolution results
Usage
plot_cond_num(results.df, algorithm.order = NULL)
Arguments
results.df |
data frame containing results as returned by prepare_data |
algorithm.order |
character vector of algorithm names specifying the plotting order |
Value
list containing 3 plots:
1) cond_num_plot - barplot of average condition numbers
2) cond_vs_score - scatter plot of
average condition number vs. score for each algorithm
3) variation_plot - scatter plot of standard deviation of
score vs. standard deviation of condition number
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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