# ggpubr 0.1.6

## New features
   
- New function `ggballoonplot()` added to visualize a contingency table.

- `ggdotchart()` can be now used to plot multiple groups with `position = position_dodge()` [@ManuelSpinola, #45](https://github.com/kassambara/ggpubr/issues/45).

- New function `ggscatterhist()` to create a scatter plot with marginal histograms, density plots and box plots.

- New theme `theme_pubclean()`: a clean theme without axis lines, to direct more attention to the data.

- New arguments in `ggarrange()` to customize plot labels ([@G-Thomson, #41](https://github.com/kassambara/ggpubr/issues/38)):  
    - font.label
    - label.x and label.y
    - hjust and vjust
    
- New argument `method.args` added to `stat_compare_means()`. A list of additional arguments used for the test method. For example one might use method.args = list(alternative = "greater") for wilcoxon test ([@Nicktz, #41](https://github.com/kassambara/ggpubr/issues/41)).

- New argument `symnum.args` added to `stat_compare_means()`. A list of arguments to pass to the function symnum for symbolic number coding of p-values. For example, `symnum.args <- list(cutpoints = c(0, 0.0001, 0.001, 0.01, 0.05, 1), symbols = c("****", "***", "**", "*", "ns"))`

- New functions `table_cell_font()` and `table_cell_bg()` to easily access and change the text font and the background of `ggtexttable()` cells ([@ProbleMaker, #29](https://github.com/kassambara/ggpubr/issues/29)).
  
- New argument `numeric.x.axis` in `ggline()`. logical. If TRUE, x axis will be treated as numeric. Default is FALSE. ([@mdphan, #35](https://github.com/kassambara/ggpubr/issues/35))

- New argument `lab.nb.digits` in `ggbarplot()`. Integer indicating the number of decimal places (round) to be used ([#28](https://github.com/kassambara/ggpubr/issues/28)). Example: lab.nb.digits = 2.

- New argument `tip.length` in `stat_compare_means()`. Numeric vector with the fraction of total height that the bar goes down to indicate the precise column. Default is 0.03. Can be of same length as the number of comparisons to adjust specifically the tip lenth of each comparison. For example tip.length = c(0.01, 0.03).
   

## Minor changes

- Now `get_legend()` returns NULL when the plot doesn't have legend.  
   
   
## Bug fixes

- Now data argument are supported in  `stat_compare_means()` when the option comparisons are specified ([@emcnerny, #48](https://github.com/kassambara/ggpubr/issues/48))

- Now `compare_means()` returns the same p-values as `stat_compare_means()` ([@wydty, #15](https://github.com/kassambara/ggpubr/issues/34)).
- `stat_compare_means()` now reacts to label = "p.format" when comparisons specified ([#28](https://github.com/kassambara/ggpubr/issues/28)).
- Now, the p.values are displayed correctly when ref.group is not the first group ([@sehufnkjesktgna, #15](https://github.com/kassambara/ggpubr/issues/27)).
 
# ggpubr 0.1.5
  
## Minor changes

- In `ggpar()`, now `legend.title` can be either a character vector, e.g.: legend.title = "Species" or a list, `legend.title = list(color = "Species", linetype = "Species", shape = "Species")`.

- New argument `ellipse.border.remove` in `ggscatter()` to remove ellipse border lines.
   
```r
ggscatter(mtcars, x = "mpg", y = "wt", 
          color = "cyl",
          ellipse = TRUE, mean.point = TRUE, 
          ellipse.border.remove = TRUE)
```

- In `ggscatter`(), the argument `mean.point` now reacts to fill color.
- Support for text justification added in `ggtexttable()` ([@cj-wilson, #15](https://github.com/kassambara/ggpubr/issues/18))

- The function `ggpie()` can now display japanese texts. New argument `font.family` in `ggpie`() and in `ggpar()` ([@tomochan001, #15](https://github.com/kassambara/ggpubr/issues/15)).

- Using time on x axis works know with `ggline()` and `ggbarplot()` ([@jcpsantiago, #15](https://github.com/kassambara/ggpubr/issues/17)).



## Bug fixes
   
- `stat_compare_means()` now reacts to `hide.ns` properly.
- `drawDetails.splitText()` exported so that the function `ggparagraph()` works properly.
- Now, ggpubr functions accept expression for label text
- In `ggbarplot()`, now labels correspond to the true size of bars ([@tdelhomme, #15](https://github.com/kassambara/ggpubr/issues/15)).
- `stat_compare_means()` now keep the default order of factor levels ([@RoKant, #12](https://github.com/kassambara/ggpubr/issues/12)).


# ggpubr 0.1.4

## New features

- New helper functions:
    - `gradient_color()` and `gradient_color()`: change gradient color and fill palettes.
    - `clean_theme()`: remove axis lines, ticks, texts and titles.
    - `get_legend()`: to extract the legend labels from a ggplot object.
    - `as_ggplot()`: Transform the output of `gridExtra::arrangeGrob()` and `gridExtra::grid.arrange()` to a an object of class ggplot.
    - `ggtexttable()`: to draw a textual table.
    - `ggparagraph()`: to draw a paragraph of text.
    - fill_palette() and color_palette() to change the fill and color palette, respectively.
    - `annotate_figure()` to annotate (arranged) ggplots.
    - `text_grob()` to create easily a customized text graphical object. 
    - `background_image()` to add a background image to a ggplot.
    
- New theme function `theme_transparent()` to create a ggplot with transparent background.
 
## Minor changes

- In `gghistogram()`, density curve and rug react to the fill color.
- `ggarrange()`:
    - New  argument `àlign` to specify whether graphs in the grid should be horizontally ("h") or vertically ("v") aligned. 
    - New argument `legend` to remove or specify the legend position when arranging multiple plots.
    - New argument `common.legend` to create a common unique legend for multiple plots.
     

# ggpubr 0.1.3
   
## New features
   
- New functions:
    - `ggarrange()` to arrange multiple ggplots on the same page.
    - `ggexport()` to export one or multiple ggplots to a file (pdf, eps, png, jpeg).
    - `ggpaired()` to plot paired data.
    - `compare_means()` to compare the means of two or multiple groups. Returns a data frame.
    - `stat_compare_means()` to add p-values and significance levels to plots.
    - `stat_cor()` to add correlation coefficients with p-values to a scatter plot.
    - `stat_stars()` to add stars to a scatter plot.
      
      
      
- Now, the argument `y` can be a character vector of multiple variables to plot at once. This might be useful in genomic fields to plot the gene expression levels of multiple genes at once. see `ggboxplot()`, `ggdotplot()`, `ggstripchart()`, `ggviolin()`, `ggbarplot()` and `ggline`.
   
- The argument `x` can be a vector of multiple variables in `gghistogram()`, `ggdensity()`, `ggecdf()` and `ggqqplot()`.
     
     
- New functions to edit ggplot graphical parameters:
    - `font()` to change the appearance of titles and labels.
    - `rotate_x_text()` and `rotate_y_text()` to rotate x and y axis texts.
    - `rotate()` to rotate a ggplot for creating horizontal plot.
    - `set_palette()` or `change_palette()` to change a ggplot color palette.
    - `border()` to add/change border lines around a ggplot.
    - `bgcolor()` to change ggplot panel background color.
    - `rremove()` to remove a specific component from a ggplot.
    - `grids()` to add grid lines.
    - `xscale()` and `yscale()` to change axis scale.
       
       
- New helper functions:
    - `facet()` added to create multi-panel plots ([#5](https://github.com/kassambara/ggpubr/issues/5)).
    - `add_summary()` to add summary statistics.
    - `ggadd()` to add summary statistics or a geometry onto a ggplot.
      
      
- New data set added: `gene_citation`    
     
     
- New arguments in `ggpar()`: `x.text.angle` and `y.text.angle`

      
      
## Major changes
   
- New arguments in ggpubr functions, see `ggboxplot()`, `ggdotplot()`, `ggstripchart()`, `ggviolin()`, `ggbarplot()` and `ggline`:
    - `combine` added to combine multiple y variables on the same graph.
    - `merge` to merge multiple y variables in the same ploting area.
    - `select` to select which item to display.
    - `remove` to remove a specific item from a plot.
    - `order` to order plot items.
    - `label, font.label, label.select, repel, label.rectangle` to add and customize labels
    - `facet.by, panel.labs and short.panel.labs`: support for faceting and customization of plot panels
        
        
- New argument `grouping.vars`  in `ggtext()`. Grouping variables to sort the data by, when the user wants to display the top n up/down labels.
      
      
- New arguments in `theme_pubr()`: 
    - border,
    - margin, 
    - legend,
    - x.text.angle

   
## Minor changes


- Now, the argument `palette` Can be also a numeric vector of length(groups); in this case a basic color palette is created using the function `grDevices::palette()`.
   
# Bug fixes
   
- Now, `ggpar()` reacts to palette when length(palette) = 1 and palette is a color name [#3](https://github.com/kassambara/ggpubr/issues/3).

- `ggmaplot()` now handles situations, wehre there is only upregulated, or downlegulated gnes.
  

# ggpubr 0.1.2
   
    
## New features
   
- New function `get_palette()` to generate a palette of k colors from ggsci palettes, RColorbrewer palettes and custom color palettes. Useful to extend RColorBrewer and ggsci to support more colors.
  
## Minor changes
   
- Now the `ggpar()` function can handle a list of ggplots.
- Now the default legend position is `right`.
- New argument `show.legend.text` in the `ggscatter()` function. Use show.legend.text = FALSE to hide text in the legend.
- New arguments `title, submain, subtitle, caption, font.submain, font.subtitle, font.caption` in the `ggpar()` function.
- New argument `font.family` in `ggscatter()`.
   
## Bug fixed
   
- The mean within group for `ggdensity` (`gghistogram`) are now shown if data have NA values [@chunkaowang, #1](https://github.com/kassambara/ggpubr/issues/1)
   
   
# ggpubr 0.1.1
   
  
## New features
   
- New function `ggtext()` for textual annotation.
- New argument star.plot in `ggscatter()`. A logical value. If TRUE, a star plot is generated.
- New helper function `geom_exec()`. A helper function used by ggpubr functions to execute any geom_xx functions in ggplot2. Useful only when you want to call a geom_xx function without carrying about the arguments to put in `ggplot2::aes()`.
- New arguments sort.val and top in `ggbarplot()`. 
    - sort.val: a string specifying whether the value should be sorted. Allowed values are "none" (no sorting), "asc" (for ascending) or "desc" (for descending).
    - top: a numeric value specifying the number of top elements to be shown.
- New function `theme_classic2()` added. Classic theme with axis lines.
    
    
## Minor changes

- `ggboxplot()`, `ggviolin()`, `ggdotplot()`, `ggstripchart()`, `gghistogram()`, `ggdensity()`, `ggecdf()` and `ggqqplot()` can now handle one single numeric vector.

```
# Example
ggboxplot(iris$Sepal.Length)
```

- Now, in `gghistogram()`, when add_density = TRUE, y scale remains = "..count..".
- Now, default theme changed to theme_classic2()
- Default point size and line size set to NULL

   

# ggpubr 0.1.0


## Plot one variable - X: Continuous

- ggdensity(): Density plot
- gghistogram(): Histogram plot
- ggecdf(): Empirical cumulative density function
- ggqqplot(): QQ plots


## Plot two variables - X & Y: Discrete X and Continuous Y

- ggboxplot(): Box plot
- ggviolin(): Violin plot
- ggdotplot(): Dot plot
- ggstripchart(): Stripchart (jitter)
- ggbarplot(): Bar plot
- ggline(): Line plot
- ggerrorplot(): Error plot
- ggpie(): Pie chart
- ggdotchart(): Cleveland's dot plots


## Plot two continuous variables

- ggscatter(): Scatter plot
  
  
## Graphical paramters
   
- ggpar(): Change graphical parameters
- show_line_type(): Line types available in R
- show_point_shapes(): Point shapes available in R
- theme_pubr(): Create a publication ready theme
- labs_pubr(): Format only plot labels to a publication ready style
   
   
## Genomics
    
- ggmaplot(): MA-plot from means and log fold changes
   
   
## Data
   
- diff_express: Differential gene expression analysis results
   
   
## Other
   
- desc_statby(): Descriptive statistics by groups
- stat_chull(): Plot convex hull of a set of points
- stat_conf_ellipse(): Plot confidence ellipses
- stat_mean(): Draw group mean points
