# SCpbur v3.0.0 (In Development)

## Reason for the mejor version change
-   Due to the preparation for the publication of SCpubr's manuscript, a major effort has been made to further standardize and wrap up the package nicely.
-   Some functions have been removed, and many have been renamed, for consistency.
-   Development version of functions have been transferred to the normal release, with the exception of `SCpubr::do_SavePlot()`.

## General
-   Enhanced startup message for clarity. Not it guides the user to run `SCpubr::package_report(extended = TRUE)` to get an overview of the missing dependencies.
-   Added black border to glyphs in legends.
-   Whenever a categorical color scale is used, now you can set `colorblind = TRUE`, and it will pull from a collection of different published colorblind-safe palettes. If the length of the classes in the categorical variable matches the length of one of the palettes, that palettes is used. If not, a pool will be selected, with a total maximum of 85 categories allowed. If `colors.use` is used, `colorblind` has no effect (thus, check if your palette is colorblind-safe with `do_ColorBlindCheck()`). For continuous variables, `YlGnBu` is used. For divergent variables, `RdBu` is used. Both `YlGnBu` and `RdBu` are colorblind-safe. Since they are set as default, there is no need for `colorblind` parameter in the functions that only plot continuous/divergent variables.
-  Added support to show the values as text in most heatmap-based functions. This is achieved by using `values.show = TRUE`.
-  Aesthetics of the text labels can be tuned with `values.threshold`, `values.size` and `values.round`. 
-  Fixed an issue where `symmetry_center` would not work as intended. Now it correctly displays the color scale with the provided value in the center.

## Added functions
-   `do_WafflePlot()`: This function displays proportions as a pictogram grid of 10x10 tiles. It helps to visually see at a glance the proportions of your data. This fails to correctly convey decimal proportions and completely ignores heavily under-represented classes in your dataset. 
-   `do_RankedExpressionHeatmap()` to plot expression values as a heatmap along a dimensional reduction component.
-   `do_ColorBlindCheck` to provide a comparative view of a given color paletter under different kinds of color blindness. This will allow to check for the suitability of a given set of colors for publication.

## Removed functions
-   `do_FunctionalAnnotationPlot()`.
-   `do_GroupedGOTermPlot()`.

The reason behind it is that they, together with do_TermEnrichmentPlot() targeted the same analysis and, therefore, were redundant.

## Renamed functions
In an effort to standardize function names, the following changes have been implemented: 

-   `do_DiffusionMapPlot()` is now called `do_RankedEnrichmentHeatmap()`. 
-   `save_plot()` (development release only) is now called `do_SavePlot()`. 
-   `package_report()`  is now called `do_PackageReport()`. 
-   `do_LoadingsPlot()` is now called `do_LoadingsHeatmap()`. 
-   `do_AffinityAnalysisPlot()` is now called `do_ActivityHeatmap()`. 
-   `do_PathwayActivityPlot()` is now called `do_PathwayActivityHeatmap()`. 
-   `do_TFActivityPlot()` is now called `do_TFActivityHeatmap()`.
-   `do_GroupwiseDEPlot()` is now called `do_GroupwiseDEHeatmap()`. 
-   `do_CopyNumberVariantPlot()` is now called `do_CNVHeatmap()`. 
-   `do_CorrelationPlot()` is now called `do_CorrelationHeatmap()`. 
-   `do_MetadataPlot()` is now called `do_MetadataHeatmap()`. 
-   `do_GeyserPlot()` is now called `do_StripPlot()`. 

## Heavily modified functions.
-   `do_TermEnrichmentPlot()`: Recoded the whole function. Now accepts the result of using `clusterProfiler::enrichGO()`, `clusterProfiler::enrichKEGG()`, etc. The output is a dot plot with the terms on the Y axis, the Gene Ratio in the X, colored by the adjusted p-value and size mapped to the Gene Count.
-   `do_DotPlot()`: Removed dependencies with `Seurat::DotPlot()`.
-   `do_RankedEnrichmentPlot()`, `do_EnrichmentHeatmap()` and `do_SCEnrichmentHeatmap()` do not longer accept `flavor = "AUCell"` due to dependency issues and lack of development support.

The reason of these modification is to allow for a much clearer and concise output than before.

## do_ActivityHeatmap()
-   Changed legend title to "Z-Scored | ulm score", for consistency with other functions in the package.

## do_AlluvialPlot()
-   Enforced a minimum version of `ggalluvial` to deal with deprecation of functions from `dplyr` and `tidyr` that were still used in `ggalluvial` functions.
-   Modified the legend items to have a black border.
-   Changed default legend position to bottom and legend title to top and centered.

## do_BoxPlot()
-   Added `legend.ncol`, `legend.nrow` and `legend.byrow` parameters to control legend behavior.
-   Fixed a bug in which `map_signif_levels` would only accept a logical and not custom mappings.
-   When `map_signif_levels` is used, the mapping now appears as a plot legend for clarity.
-   Added black borders to the legend glyphs when using `use_silhouette = FALSE`. 

## do_CellularStatesPlot()
-  Added reference lines to the plot to better visualize the segments.
-  Added black border around the legend items. 
-  Fixed bug where axis text will always display in bold. 

## do_ChortDiagramPlot()
-  Added `font.size` parameter to control the font size of the plot.

## do_CNVHeatmap()
-   Added `include_chr_arms` parameter to decide whether the heatmap should include a breakdown of the arms or just keep it by chromosomes.

## do_ColorPalette()
-  Changed "Wheel" to "Color wheel" when plotting the output without additional parameters.

## do_DimPlot()
-   Fixed a bug caused by using `cells.highlight` with only one cell.
-   Fixed a bug causing the "Combined" plot resulting of the use of `split.by` and `group.by` to have a different size than the rest of panels when `ncol` parameter was also used.
-   Fixed a bug causing a "selected_cells" plot title to show up when using `cells.highlight` and `idents.highlight`. 
-   Changed the plot title of the "Combined" plot to either `group.by` or `split.by` depending of the usage context.
-   Added `split.by.combined` parameter and set its default value to `TRUE`. This allows to toggle on or off whether to display the combined view when `split.by` is used.
-   However, when `split.by`is used alongside `group.by`, it is now enforced to show the combined plot (`split.by.combined = TRUE`), to avoid bugs.
-   Added `legend.dot.border` parameter to select whether we want a black border around the legend dots or not.
-   Fixed a bug in which `font.family` would not be applied when `label = TRUE`. 
-   Fixed a bug in which groups would not cluster if `cluster = TRUE` if there were missing values.

## do_DotPlot()
-   Fixed a bug that caused sequential palettes to not be checked properly.
-   Changed default value of `dot.scale` to 8.
-   Removed legacy parameter `colors.use`, which had no effect as of previous version but was still listed as parameter.
-   Removed dependency with `Seurat::DotPlot()`. This means that there will be some differences with the output of this function. However, this is a design choice for the sake of preventing future dependency problems.
-   Added `split.by` parameter.
-   If `features` is provided as a named list, the plot facets them based on the belonging list (duplcated genes are removed). Cannot be used alongside `split.by`.
-   Removed `scale`and `scale.by` parameters. In the sense of how they worked in `Seurat`.
-   Added `zscore.data` parameter. When set to `TRUE`, it computes Z-scores for each gene across the different groups, allowing for inspection of which group has highest or lowest expression, but prevents you from comparing values across different genes. It is intended to be used alongside `slot = "data"`. 
-   Removed the possibility to use a list of features. Instead, facets are being drawn according to `split.by` parameter.
-   Removed `dot_border`. This is a design choice of `SCpubr`.
-   Added `dot.min` parameter to exclude dots falling below a threshold for `P.Exp`.

## do_EnrichmentHeatmap()
-   Changed default value of `scale_scores` to `FALSE`.
-   Fixed a bug in which scores were not actually being scaled when `scale_scores = TRUE`.
-   Fixed a bug in which setting `scale_scores = TRUE` and `features.order` would trigger an error since the output had the suffix `_scaled` on it. This has been patched.

## do_FeaturePlot()
-   Fixed a bug in which legend titles would not show up as intended.
-   Enabled the use of several legend titles when multiple features are provided. The number of legend titles and features have to be equal.
-   Fixed a bug in which `font.family` would not be applied when `label = TRUE`. 
-   Added `scale.limits` parameter to control the range of values the color scale should take. This is specially useful if you want to plot several features and make the color comparable between them. 

## do_GroupwiseDEHeatmap()
-   Reduced the legend title texts to allow for more room in the plot.
-   Fixed a bug in which providing a DE genes object with `p_val_adj = 0` would cause the function to crash.

## do_LigandReceptorPlot()
-   Added a new parameter `top_interactions_by_group` which when set to `TRUE` will report for each pair of `source` and `target`, as many interactions as stated in `top_interactions`.

## do_MetadataHeatmap()
-   Modified the legend items to have a black border.
-   Set `cluster = FALSE` as default.

## do_PathwayActivityHeatmap
-   Changed legend title to "Z-Scored | <statistic> score", for consistency with other functions in the package.

## do_RidgePlot()
-   Removed `size = 1.25` aesthetic from the call to `ggridges::geom_ridge...`.
-   Set default legend position to bottom.
-   Fixed a bug in which plot grid would not react properly to `flip`.
-   Simplified the functionality of the function due to inconsistent interactions with `ggridges` package. As such, parameters `compute_quantiles`, `compute_custom_quantiles`, `quantiles`, `compute_distribution_tails`, `prob_tails` and `color_by_probabilities` are removed. 

## do_SavePlot()
-   Added `limitsize` parameter, that allows for very big ggplot2-based plots to be saved with big dimensions.

## do_TFActivityHeatmap()
-   Changed legend title to "Z-Scored | <statistic> score", for consistency with other functions in the package.

## do_ViolinPlot()
-   Added `order` parameter to reorder the groups based on the median. Only works when `split.by` is set to `NULL`.
-   Fixed typos in error logging.
-   Fixed a bug in which color palettes would not display by default when using `split.by`.

## do_VolcanoPlot()
-   Fixed an issue in which tags would be duplicated when using `use_labels = TRUE` in combination with `order_tabs_by = "both"`.
-   Renewed aesthetics.
-   Parameter `colors.use` now defaults to `NULL`, allowing a default color scheme to take place. Setting this parameter to a color will modify the color scheme appropriately.
-   Simplified axis titles. 

# SCpbur v2.0.2

## General.
-   Fixed a bug that prevented error messages stating the dependencies missing per function to show up properly.
-   Fixed assumptions on Seurat v4 and v5 and reverted to the use of cannonical `GetAssayData` and `SetAssayData` functions.
-   Fixed dependency problems with archived packages.

## do_BeeSwarmPlot()
-   Changed default continuous palette to `YlGnBu`.
-   Changed default legend title to `feature_to_rank` if `continous_feature = TRUE`. 
-   Changed default value of `sequential.direction` to `1`. 
-   Changed default value of `legend.position` to `bottom` when `continuous_feature = FALSE`. 

## do_BoxPlot()
-   Changed default value of `legend.position` to `bottom`. 
-   Fixed a bug in which legend key glyphs would not show up when using `use_silhouette = TRUE`. 

## do_CopyNumberVariantPlot()
-   Fixed an issue in which using `min.cutoff` or `max.cutoff` would render the values outside these bounds to NA and therefore being plotted as grey. Now they will have the highest/lowest value possible.

## do_FeaturePlot()
-   Added `symmetry.type` parameter, that allows to control how the symmetry is computed: either in absolute values (taking into account the highest and lowest value) or in the middle point specified by `symmetry.center`.
-   Added `symmetry.center` parameter, that allows to control the center of symmetry when `symmetry.type` is set to `centered`. 

## do_ViolinPlot()
-   Changed default value of `legend.position` to `bottom`. 
-   Fixed a bug in which the default color palette would not be applied when `plot_boxplots = FALSE`.
-   Added `legend.title.position` parameter and set it up as `top` by default.
-   Fixed a bug in which plot grid would not react properly to `flip`.

# SCpubr v2.0.1 

## General
-   Refactored startup messages to comply with CRAN policies.

## Removed functions
-   Removed `SCpubr::check_dependencies()` to support the use of `SCpubr::package_report()`. 

## `SCpubr::do_EnrichmentHeatmap`

-   Fixed a bug that checked the package dependencies for the wrong function.

# SCpubr v2.0.0 

This major update focus on a complete re-implementation of all heatmap-based functions into `ggplot2` instead of `ComplexHeatmap`. This will lead to many of the existing code to break. The trade-off between the difficulty of debug, expand and maintain the existing heatmap-based functions with regards to the capabilities ComplexHeatmap offers with regards to ggplot2 was not worthy.

All heatmap-specific parameters have been replaced with the overarching parameters that are used across functions. This decision was taking after a lot of thought, but ultimately, having all plots rely on ggplot2 makes it way more compatible to work with them together, to debug, and to further implement new ideas.

Many (except a few selected cases) of the functions that returned list of different plots have been modified to return a single (and most important/relevant) plot and the option to return the Seurat object with the data generated added to it has been implemented so that the user can still generate plots with it. This goes in line with the fact that having so many interconnected functions made it very difficult to expand on them, if needed, as the downstream effects will cascade to other functions as well.

## Parameter renaming

-   Changed `viridis_color_map` to `viridis.palette`.
-   Changed `viridis_direction` to `viridis.direction`.
-   Changed `sequential_direction` to `sequential.direction`.
-   Changed `rotate_x_axis_labels` to `axis.text.x.angle`.
-   Changed `rotate_strip_text` to `strip.text.angle`.

## New functions (available on the development build for extended texting)

-   `SCpubr::do_MetadataPlot()` to generate metadata heatmaps with ease both from Seurat object or from a data frame. Will be first released as part of the `development version` and then released in CRAN as part of future updates. The idea is to gather feedback from users before officially releasing it.
-   `SCpubr::do_SCExpressionHeatmap()` to generate heatmaps of expression of genes across all cells in the dataset. Will be first released as part of the `development version` and then released in CRAN as part of future updates. The idea is to gather feedback from users before officially releasing it.
-   `SCpubr::do_SCEnrichementHeatmap()` to generate heatmaps of enrichment of genes across all cells in the dataset. Will be first released as part of the `development version` and then released in CRAN as part of future updates. The idea is to gather feedback from users before officially releasing it.
-   `SCpubr::do_AffinityAnalysisPlot()` to assess the affinity of gene sets to subset of cells in the Seurat objects using the weighted means algorithms from DecoupleR. Will be first released as part of the `development version` and then released in CRAN as part of future updates. The idea is to gather feedback from users before officially releasing it.
-   `SCpubr::do_LoadingsPlot()` to generate a summary heatmap of the PCA loadings (top and bottom scored genes for each PC) together with a expression heatmap of the same genes. Will be first released as part of the `development version` and then released in CRAN as part of future updates. The idea is to gather feedback from users before officially releasing it.
-   `SCpubr::do_DiffusionMapPlot()` to analyze the output of a diffusion map analysis on the context of enrichment in gene sets used for the generation of the diffusion map. Will be first released as part of the `development version` and then released in CRAN as part of future updates. The idea is to gather feedback from users before officially releasing it.
-   `SCpubr::check_dependencies()` to generate a per-function summary of the needed packages to run the function. The report has been enhanced with `cli` package and now clearly illustrates what is missing to run the function.

## Removed functions

-   `SCpubr::do_SankeyPlot()` has been removed and replaced by `SCpubr::do_AlluvialPlot()`, which is present in the official CRAN versions.
-   `SCpubr::do_PseudotimePlot()` has been removed indefinitely until a better, revamped, state-of-the-art version is generated.
-   `SCpubr::do_AzimuthAnalysisPlot()` has been removed as the output can be accomplished by a combination of the current functions in `SCpubr`. A vignette will be added to reproduce the same analysis.

## General

-   Now when using `min.cutoff` or `max.cutoff`, the legend will show that the min/max value is higher/lower than the one provided, if such value appeared originally in the legend breaks. This potentially interacts with `enforce_symmetry`.
-   Added `number.breaks` parameter to control the number of breaks in the legend of ggplot2-based plots. It will not always work, as the function will try to fit the breaks accordingly. But still, will give some range of freedom to the user.
-   Removed `colorsteps` from `legend.type` parameters as it was prone to generate unintended bugs.
-   Changed default values from `min.cutoff` and `max.cutoff` from `NULL` to `NA`.
-   Implemented `diverging.palette` parameter in all plots that have a symmetrical color scale to help selecting other possible color scales for the plot.
-   Implemented `sequential.palette` parameter in all plots that have a continuous, non-symmetrical color scale to help selecting other possible color scales for the plot, in the case the user does not want to use viridis color scales.
-   Renamed `SCpubr::state_dependencies()` to `SCpubr::check_dependencies()`.
-   Renewed printed messages at startup and while running functions using `cli` package.
-   Added the complete control of the font style of plot titles, subtitles, captions, axis titles, axis text, legend titles and legend text. For this, the following parameters have been added to all ggplot2-based functions:
    -   `plot.title.face`: To control the style of the **title**.
    -   `plot.subtitle.face`: To control the style of the **subtitle**.
    -   `plot.caption.face`: To control the style of the **caption**.
    -   `axis.title.face`: To control the style of the **axis title**.
    -   `axis.text.face`: To control the style of the **axis text**.
    -   `legend.title.face`: To control the style of the **legend title**.
    -   `legend.text.face`: To control the style of the **legend text**.
-   Changed default font style for legend text from `bold` to `plain`. 
-   Changed default font style for axis text from `bold` to `plain`.
-   When using `plot.axes = TRUE` parameter in `SCpubr::do_DimPlot()`, `SCpubr::do_FeaturePlot()` and `SCpubr::do_NebulosaPlot()`, now the entirety of the X and Y axis is removed, titles included.
-   Remove plot margin padding in `SCpubr::do_DimPlot()`, `SCpubr::do_FeaturePlot()` and `SCpubr::do_NebulosaPlot()`. 

## `SCpubr::do_AlluvialPlot`
-   Added `sequential.palette` and `sequential.direction` parameters.

## `SCpubr::do_BarPlot`

-   Added `facet.by` parameter to extra group the bars by a third metadata variable.
-   Added `order.by` to reorder the bars when using `position = fill` based on a value in `group.by`.
-   Limited the possible interactions from `group.by`, `split.by` and `order.by` to those that make sense to plot. For instance, a bar plot using `group.by` and `position = fill` but not using `split.by ` resulted in bars of equal lenght with only one value per group of proportion `1`.
-   Set default value of `plot.grid` to `FALSE`.
-   Added parameter `add.n` to display the total count on top when `position = fill`.
-   Added parameter `add.n.face` to control the appearance of the text displayed.
-   Added parameter `add.n.expand` to control the range of values in the Y axis. This has to be minimum 0 and maximum at least 1. This is set in order to tweak the limits so that the labels fit when `flip = TRUE`.

## `SCpubr::do_BeeSwarmPlot`

-   Added `order` parameter to reorder the groups based on the median rank.

## `SCpubr::do_BoxPlot`

-   Changed the reordering of boxplots based on the median rather than the mean.
-   Added `na.rm` to `geom_boxplot` to avoid unnecessary warnings when introducing NAs as part of the data.
-   Fixed a bug in which `order` would not work if `NAs` are in the data.
-   Changed default value of `boxplot.linewidth` from `1` to `0.5`.
-   Fixed a bug in which when using a combination of `group.by` and `split.by`, the package would check that the colors provided to `colors.use` need to match the values in `group.by` and not `split.by`.

## `SCpubr::do_CorrelationPlot`

-   Added parameter to fix a bug in which viridis scales did not apply due to the lack of the parameter.
-   Added `min.cutoff` and `max.cutoff` parameter to add cutoffs to the scales.
-   Added `mode = "jaccard"` to compute a correlation matrix of a list of gene sets based on jaccard similarity.
-   Added `use_viridis`, `sequential.palette` and `sequential_direction` and `diverging.palette` to control color palettes.
-   Added `cluster` parameter to toggle on/off the clustering of the rows and columns in the heatmap.
-   Added `remove.diagonal` parameter to toggle on/off the conversion of the diagonal in the correlation matrix to `NA`.
-   Fixed several issues with setting cutoffs for the color scale using `min.cutoff` and `max.cutoff`. 
-   Fixed an issue where `number.breaks` will not work in `mode = "jaccard"`.

## `SCpubr::do_CopyNumberVariantPlot()`

-   Removed the option to compute Feature and Geyser plots.
-   Instead, a new paramerter `return_object` has been added to return the Seurat object with a new assay containing the CNV scores per cell on the `data` slot of the `CNV_scores` assay.
-   The main output visualization is now a heatmap with the averaged scores by chromosome and groups and also by chromosome arms.

## `SCpubr::do_DimPlot`

-   Modified underlying code to correctly display borders around cells when `cells.highlight` or `idents.hightlight` or `idents.keep` are used. Also removed the "Not selected" item from the legend when doing so, as it was redundant.
-   Fixed a bug in which multiple legend would appear when using a combination of `group.by` and `split.by`, given that the individual UMAPs would not have the same number of entities to plot and color.

## `SCpubr::do_DotPlot`

-   Added `scale` parameter to allow for the data to be scaled or not scaled.
-   Removed `split.by` parameter in favor or the higher consistency and proper functionality accross parameters. Will probably come in the future, implemented outside of the umbrella of Seurat.
-   Renamed parameter `cluster.idents` to `cluster`.
-   Removed the limitation of `flip` when `features` was a list of genes. Now any combination of `flip` and `features` is possible.

## `SCpubr::do_EnrichmentHeatmap`

-   Removed options to plot FeaturePlots, GeyserPlots, ViolinPlots, etc. - together with its related parameters. For the sake of simplicity in the function and its use, the user can get the Seurat object back with `return_object = TRUE` and plot the enrichment scores separately, that are stored as a new Assay.
-   Removed `return_matrix` parameter as the scores can now be retrieved from the Seurat object as an assay.
-   Enforcing the use of `named lists` as input for the function.
-   Added `cluster` parameter to allow for clustering of rows and columns.
-   Added `groups.order` to allow for specifically arrange the groups defined by `group.by` with a given order.
-   Added `features.order` to allow for specifically arrange the gene sets defined by `input_gene_list`.

## `SCpubr::do_ExpressionHeatmap`

-   Added `cluster` parameter to allow for clustering of rows and columns.
-   Added `groups.order` to allow for specifically arrange the groups defined by `group.by` with a given order.
-   Added `features.order` to allow for specifically arrange the features defined by `features`.

## `SCpubr::do_FeaturePlot`

-   Modified underlying code to show a border around selected cells when using `split.by`, `cells.hightlight` and `idents.highlight`.
-   Added parameter `border.density` to reduce the amount of extra cells drawn on the background to generate the borders. This will be a number between 0 and 1 corresponding to the quantile of the distribution of density of the points in the scatterplot drawn in the background. The lower the value, the harder it will be to keep a border around all cells, while it will significantly reduce the overall weight of the plot object.
-   Added parameter `group.by`, that allows to plot a big dot in the center of each group designated by `group.by` and thus allowing to locate easily where each identity is in the FeaturePlot. Also, plots a legend matching the color of the dots. This can be tweaked with additional parameters such as:
-   `group.by.show.dots` to controlw hether these dots are plotted or not (to allow only plotting colored borders around cells - see below).
-   `group.by.dot.size` to control the size of the introduced dots.
-   `group.by.cell_border` to plot another contour-like border which also displays the color coding of the clusters designated by `group.by`, to signal the reach of each cluster. However, this basically signals the cluster the cells in the periphery of the cell blobs belong to. Take that into account.
-   `group.by.cell_borders.alpha` controls the alpha of the new cell borders.
-   `group.by.legend` controls the legend title of the new legend.
-   Renamed `split.by.idents` to `idents.keep` to better synergize with the parameter in `SCpubr::do_DimPlot`. Only works when `split.by` is used.

## `SCpubr::do_FunctionalAnnotationPlot`

-   Removed the tree plots as they proved to behave inconsistently across datasets and the quality of visualizations were compromised.
-   Removed the option to plot the bar plots and dot plots in the sake of a more simplified, streamlined plot generation.
-   The option to return the result matrix using `return_matrix` is added, so that the user can use it to compute further analysis or visualizations.

## `SCpubr::do_FunctionalAnnotationPlot`
-   Renamed `order_by_mean` to `order`.
-   Ordering using `order = TRUE` now is done based on the median instead of the mean.

## `SCpubr::do_LigandReceptorPlot()`
-   Modified the accepted input so that only the result of `liana::liana_aggregate()` is taken into account.
-   Removed `arrange_interactions_by` as now the function only accepts the output of `liana::liana_aggregate()`.
-   Added a `sort.by` parameter instead to select how the output of `liana::liana_aggregate()` should be ordered prior the subset by `top_interactions`. Five modes are available:
    - `A`: Orders the output by `specificity`.
    - `B`: Orders the output by `magnitude`.
    - `C`: Orders the output by `specificity` then `magnitude`. This prioritizes the `specificity` column.
    - `D`: Orders the output by `magnitude` then `specificity`. This prioritizes the `magnitude` column.
    - `E`: Orders the output by `specificity` and `magnitude` providing equal weights to both columns.
-   Removed `flip` parameter as the output was prone to errors.
-   Removed parameter `compute_ChordDiagrams` and added `return_interactions`. This parameter returns two tibbles that can be used alongside `SCpubr::do_ChordDiagramPlot` to plot the diagrams. 
-   Now the filtering applied by using `keep_source` and `keep_target` takes place before subsetting for the top N interactions defined by `top_interactions`. This ensures that, if the user wants to focus on a given interaction subset, we retrieve the most important interactions for the subset.
-   Added `magnitude` and `specificity` columns to allow the user to choose which variables to use for plotting.
-   Added `sorting.type.magnitude` and `sorting.type.specificity` to allow the user to choose how the columns are sorted prior plotting.
-   Added `invert_magnitude` and `invert_specificity` to allow the user to choose how the data is displayed for columns that tend to 0. Inverting performs a `-log10` transformation on the column.
-   Added a `verbose` parameter and set it to `TRUE` by default to inform the user of the arrangements taking place in the output of `liana::liana_aggregate()` prior plotting.

## `SCpubr::do_PathwayActivityPlot()`

-   Removed the option to plot geyser and feature plots to simplify the use (and computational time) of the function.
-   Introduced `return_object` parameter that returns the Seurat object with the new assay to use for other plotting purposes (such as Geyser and Feature plots).
-   Removed options to plot FeaturePlots, GeyserPlots - together with its related parameters. For the sake of simplicity in the function and its use, the user can get the Seurat object back with `return_object = TRUE` and plot the scores separately.
-   Added `slot` parameter to decide whether to plot scale data or not.
-   Fixed bug in which after setting `enforce_symmetry = FALSE` the color palette used was `diverging.palette` instead.

## `SCpubr::do_TFActivityPlot()`

-   Removed the option to plot geyser and feature plots to simplify the use (and computational time) of the function.
-   Introduced `return_object` parameter that returns the Seurat object with the new assay to use for other plotting purposes (such as Geyser and Feature plots).
-   Removed options to plot FeaturePlots, GeyserPlots - together with its related parameters. For the sake of simplicity in the function and its use, the user can get the Seurat object back with `return_object = TRUE` and plot the scores separately.
-   Added `slot` parameter to decide whether to plot scale data or not.
-   Fixed bug in which after setting `enforce_symmetry = FALSE` the color palette used was `diverging.palette` instead.

# SCpubr v1.1.2

More hotfixes in unit tests to comply with CRAN checks.

# SCpubr v1.1.1

Hotfixes in unit tests to comply with CRAN checks.

# SCpubr v1.1.0

## General

-   Increased the cell size of all heatmap-based functions from 5 to 8.
-   Decreased the thickness of frame and ticks of all ggplot2-based continuous legends to retrieve a similar behavior as in previous versions of ggplot2, as with the new update, the overall thickness of the frame and ticks increased, probably due to the changes related to `element_line`,
-   Added five new functions: `do_AlluvialPlot()`, `do_AzimuthAnalysisPlot()`, `do_ExpressionHeatmap()`, `do_GroupedGOTermPlot()` and `do_FunctionalAnnotationPlot()`.
-   Added `legend.ncol`, `legend.nrow`, `legend.title` and `legend.byrow` to as many functions as possible to further customize legend appearance.

## `SCpubr::do_BeeSwarmPlot()`

-   Added `min.cutoff` and `max.cutoff` parameter.
-   Added ticks to the plot, that were missing.
-   Added missing axes titles.
-   Added `viridis_direction` parameter to control how the continuous color scale is formed.
-   Added `return_object` parameter to return the Seurat object with the enrichment scores computed.
-   Added BoxPlots, BeeSwarmPlots and ViolinPlots to the possible outputs the user can choose from.
-   Make `legend.position` conditional of whether `continuous_feature` is set to TRUE. If it is false, legend is not displayed unless the user specifies otherwise.

## `SCpubr::do_BarPlot()`

-   Fixed a bug in which axes titles were not displaying correctly under certain combinations of `flip` and `split.by`.
-   Fixed a bug in which `x_lab` and `y_lab` would not rotate accordingly when using `flip = TRUE`.

## `SCpubr::do_BeeSwarmPlot()`

-   Adapted the code to the new 0.7.1 version of the package, thus deprecating the `groupOnX` parameter of `geom_quarirandom`. This will likely affect users with a lower version.
-   A warning has been placed for the users in lower versions of the need to upgrade to 0.7.1.
-   This changes are subject to the new behaviors/deprecations of ggplot2 and ggplot2.

## `SCpubr::do_BoxPlot()`

-   Set `assay` to NULL and will default to the default assay in the seurat object.

## `SCpubr::do_CellularStatesPlot()`

-   Fixed a bug that prevented FeaturePlots to have symmetrical axes with respect to the main plot.

## `SCpubr::do_CorrelationPlot()`

-   Added `viridis_direction` parameter.

## `SCpubr::do_DimPlot()`

-   Fixed a bug in which the legend title will not show up in regular basic plots even though the parameter `legend.title` was used.
-   Completely reformatted the way `split.by` works, so that now only one legend is displayed for the whole group and cells have border.
-   Added `label.size` and `label.box` parameters for further customize the appearance of the plot when using `label = TRUE`.
-   Changed `repel` to `FALSE` by default.

## `SCpubr::do_EnrichmentHeatmap()`

-   Fixed a bug in the code that prevented the feature plots and the geyser plots to be computed if the input gene list was not a named list of genes.
-   Added `flavor = "AUCell"`, that lets the user compute AUCell scoring of the gene sets.
-   Added the option to query multiple `group.by` parameters at the same time.
-   Fixed a bug in the code that prevented multiple outputs with different values of `group.by` to be returned properly, leading to the last value of `group.by` replacing all the rest.

## `SCpubr::do_FeaturePlot()`

-   Added `label`, `label.size` and `label.color` parameter to reproduce the same behavior as in `Seurat::FeaturePlot()`.

## `SCpubr::do_GroupwiseDEPlot()`

-   Set `assay` to NULL and will default to the default assay in the seurat object.

## `SCpubr::do_LigandReceptorPlot()`

-   Added `arrange_interactions_by` to control how output interactions are arranged (either by aggregate_rank, specificity, magnitude or a combination of magnitude and specificity).
-   Added `sort_interactions_alphabetically` to control whether the output dotplot has the interactions ordered alphabetically or as they come in the original matrix (meaning, they follow the arrangement specified in `arrange_interactions_by`). (([liana's issue #72](https://github.com/saezlab/liana/issues/72)))

## `do_PathwayActivityPlot()`

-   Added a fix in which when `enforce_symmetry` is set to `FALSE`, then the color scale turns into a viridis-based one instead of a two-color gradient scale.

## `do_TFActivityPlot()`

-   Added a fix in which when `enforce_symmetry` is set to `FALSE`, then the color scale turns into a viridis-based one instead of a two-color gradient scale.

## `SCpubr::do_ViolinPlot()`

-   Fixed a bug in the code in which no different colors could be passed to `colors.use`.
-   Reduced default line width from 1 to 0.5.

# SCpubr v1.0.4

-   Hotfix for v1.0.3 in which `do_GeyserPlot` with categorical variables had a bug that mapped the legend to the continuous axis.

# SCpubr v1.0.3

## General changes

-   Added `min.cutoff` and `max.cutoff` parameter to effectively subset the color scale and remove the effect of extreme outliers in all ComplexHeatmap-based functions.
-   Added `min.cutoff` and `max.cutoff` parameter to effectively subset the color scale and remove the effect of extreme outliers in all ggplot2-based functions susceptible to be biased by outliers.

## `SCpubr::do_DimPlot()`

-   Implemented a change in which when using `split.by` and `group.by` in combination, the cells colored on top of the UMAP also have a border.
-   Implemented a bug-fix in which when using `split.by` and `group.by` in combination, the extra new layers would not raster if `raster = TRUE`.
-   Implemented a bug-fix in which when using `split.by` and `group.by` in combination, no plots will appear if `ncol` is set.
-   Implemented a new feature to add density line contours using `plot_density_contour`.
-   Implemented the conditional use of `raster.dpi` to Seurat versions higher or equal to 4.1.0.

## `SCpubr::do_EnrichmentHeatmap()`

-   Implemented a bug fix for internal checks in the function.
-   Added `plot_FeaturePlots` and `plot_GeyserPlots` to also report the enrichment scores in a gene set-based manner.
-   Added `flavor` parameter, that accepts `Seurat` and `UCell` to allow for different enrichment scoring methods. It requires `R 4.2.0` to run.
-   Renamed `symmetrical_scale` to `enforce_symmetry` to have a greater coherence across functions.

## `SCpubr::do_FeaturePlot()`

-   Implemented a new feature to add density line contours using `plot_density_contour`.
-   Implemented the conditional use of `raster.dpi` to Seurat versions higher or equal to 4.1.0.

## `SCpubr::do_GeyserPlot()`

-   Fixed bug in which internal parameter names made it to the X axis title.
-   Removed `color.by` implementation due to it being very buggy. This will be re-implemented in a future patch.

## `SCpubr::do_RidgePlot()`

-   Implemented a bug-fix in which using `assay = "RNA"` or, in fact, any other assay rather than `SCT` will result in an error.

## `SCpubr::do_ViolinPlot()`

-   Corrected a bug in which legend title when using `split.by` was an actual line of code.
-   Added `legend.title` parameter to control the title of the legend.

### SCpubr v.1.0.3-dev-stable

-   Same as v1.0.3, but with all the functions that do not pass CRAN checks. These functions are: `SCpubr::save_Plot()` `SCpubr::do_LigandReceptorPlot()` and `SCpubr::do_SankeyPlot()`.

# SCpubr v1.0.2

## General changes

-   Change color palette when using `enforce_symmetry = TRUE` to have the middle color as `grey95` instead of the previous one, which made middle values seem closer to the positive end of the scale.
-   Modified internal structure of all functions to abide with [tidyselect v1.2.0 lifecycle modifications](https://tidyselect.r-lib.org/news/index.html#lifecycle-changes-1-2-0).
-   Modified `rotate_x_axis_labels` parameter in all functions that made use of it. Now, instead of accepting a `logical`, accepts a `numeric`: either `0`, `45` or `90`, corresponding to the degrees in which the X axis labels should be rotated. ([#5](https://github.com/enblacar/SCpubr/issues/5#issuecomment-1289203453))

## `SCpubr::do_CopyNumberVariantPlot`

-   Modified the code for `SCpubr::do_CopyNumberVariantPlot` to also report results for the whole chromosome as well as for each chromosome arm.
-   Include the `verbose` argument to `SCpubr::do_CopyNumberVariantPlot` to silence the messages when there are not enough genes in the chromosome to perform the analysis.

## `SCpubr::do_DimPlot()`

-   Fixed a typo that prevented labels to be bold in `SCpubr::do_DimPlot()` when cell borders are displayed.
-   Added `group.by` and `split.by` functionality to `SCpubr::do_DimPlot()`. ([#4](https://github.com/enblacar/SCpubr/issues/4))

## `SCpubr::do_DotPlot()`

-   Added ticks to axes.
-   Modified default colors to convey a better aesthetic.

## `SCpubr::do_FeaturePlot()`

-   Fixed potential bugs in `SCpubr::do_FeaturePlot` when setting `enforce_symmetry = TRUE`.
-   Changed default value of `order` in `SCpubr::do_FeaturePlot()` from `TRUE` to `FALSE`.
-   Added `min.cutoff` and `max.cutoff` parameters to `SCpubr::do_FeaturePlot()`. This allows to effectively subset the color scale to the values provided. Cells outside the range will be converted to the min or max values provided, respectively. ([#2](https://github.com/enblacar/SCpubr/issues/2))

## `SCpubr::do_GeyserPlot()`

-   Added `flip` parameter.

## `SCpubr::do_GroupwiseDEPlot()`

-   Fixed bug in `SCpubr::do_GroupwiseDEPlot` in which the heatmap could not be computed. ([#3](https://github.com/enblacar/SCpubr/issues/3))
-   Added extra checks to ensure proper input in `SCpubr::do_GroupwiseDEPlot`. ([#3](https://github.com/enblacar/SCpubr/issues/3))

## `SCpubr::do_LigandReceptorPlot()` (development release)

-   Changed parameter `x_labels_angle` to `rotate_x_axis_labels` to keep a consistent terminology.

## `SCpubr::do_RidgePlot()`

-   Fixed a typo that made the lines in `panel.grid.minor` to be displayed in `SCpubr::do_Ridgeplot()`.
-   Added `flip` parameter.

## `SCpubr::do_ViolinPlot()`

-   Added `split.by` functionality to `SCpubr::do_ViolinPlot()`. ([#4](https://github.com/enblacar/SCpubr/issues/4), [#5](https://github.com/enblacar/SCpubr/issues/5))
-   Added `flip` parameter.
-   Now multiple features can be queried ad the same time. ([#5](https://github.com/enblacar/SCpubr/issues/5#issuecomment-1289203453))
-   Changed `feature` parameter to `features`, to better reflect the multiple feature behavior.
-   Recreated `Seurat`'s `share.y.lims` behavior and set it to `share.y.lims` parameter. ([#5](https://github.com/enblacar/SCpubr/issues/5#issuecomment-1289203453))

### SCpubr v1.0.2-dev-stable

-   Same as v1.0.2, but with all the functions that do not pass CRAN checks. These functions are: `SCpubr::save_Plot()` `SCpubr::do_LigandReceptorPlot()` and `SCpubr::do_SankeyPlot()`.

# SCpubr v1.0.1

-   Rework on unit tests and examples so that it can pass CRAN R CMD Check without packages in Suggests. This is, to make sure all Suggested packages are used conditionally.

## SCpubr v1.0.1-dev-stable

-   Same as v1.0.1, but with all the functions that do not pass CRAN checks. These functions are: `SCpubr::save_Plot()` `SCpubr::do_LigandReceptorPlot()` and `SCpubr::do_SankeyPlot()`.

# SCpubr v1.0.0

-   Modified internal checks so that the functions that do not use `Seurat` do not require this to be installed. This is just for the very side case in which somebody downloads the package just for the `SCpubr::do_ColorPalette()` function.
-   Removed the option to use `individual.titles`, 'individual.subtitles`and`individual.captions`in`SCpubr::do_NebulosaPlot()\` as the benefit of such parameters did not surpass the problems the code was causing. The feature might come back in the future, once fully optimized.
-   Removed `SCpubr::save_Plot()` function to align with CRAN policies that the package should not write to the file system. The code is still available in the v0.0.0.0.9000 release in Github.
-   Removed `SCpubr::do_LigandReceptorPlot()`, `SCpubr::do_SankeyPlot()` and `SCpubr::do_PseudotimePlot()` to align with CRAN policies and make it possible to publish the package. These functions can still be accessed in the v0.0.0.0.9000 release in Github.
-   Removed `SCpubr::do_PseudotimePlot()` for the reason above and because the dependency `Matrix.utils` was removed from CRAN on *09-10-2022*.

## SCpubr v1.0.0-dev-stable

-   Same as v1.0.0, but with all the functions that do not pass CRAN checks. These functions are: `SCpubr::save_Plot()` `SCpubr::do_LigandReceptorPlot()` and `SCpubr::do_SankeyPlot()`.

# SCpubr 0.0.0.9000

-   Added a `NEWS.md` file to track changes to the package.
-   Prepare package for submission to CRAN.
