Man pages for ayanglab/How-to-Perform-Technical-Systematic-Review-And-Meta-Analysis-Tutorial
What the Package Does (One Line, Title Case)
| acc_over_feature | Boxplot showing the accuracy of a metric against a selected... |
| add_impr | Append odds ratio |
| all_metrics_cor | Pairwise correlation matrix |
| arrange_plots | Same function as 'grid.arrange', with the functionality of... |
| barplot_1var_overlap | Barplot of each study that contains multiple features |
| barplot_2var_label | Barplot with percentage labels |
| compare_2_group_per_metric | y_val ~ x_val if x_val is categorical |
| compare_continuous_var_over_feature | Boxplot for continuous variable |
| compare_multi_features | p value for whether one feature affects performance. |
| compare_multi_features_multi_metrics | Calculate p values for multiple variables |
| config | Configurate aesthetic parameters |
| custom_tick | Make the x or y axis only show the min, middle and max points |
| Deeks_test | perform Deeks' test on a metric |
| freq_bar | Barplot for multiple features |
| load_all_studies | Combine csv files containing performance data |
| merge_all_studies | Clean the merged dataset |
| metric_acc | Plot the performance metrics of all studies |
| metric_val | Metric performance data |
| npg_colors | Define color scale |
| pca_GMM | Plot PCA with the cluster results and the mean and variance... |
| plot_PSNR_SSIM | Scatterplot with raw PSNR and SSIM scores on the x and y axes... |
| recode_dict | Change the display names of features |
| replace_feature | Use a cleaner term to represent the names of model design... |
| resolve_overlap | Flatten each list in a dataframe |
| return_aes_param | Obtain aesthetic settings |
| revdat | Design traits of different studies |
| size_freq | Histogram of image sizes |
