# Plotting options

#### Arnaud Wolfer

#### 2019-10-03

The `santaR` package is designed for the detection of significantly altered time trajectories between study groups, in short time-series.

As the visualisation of significantly altered time-trajectories is critical to the interpretation of the process under study, this vignette will detail the plotting options present in `santaR`. `santaR_plot()` returns a `ggplot2 plotObject` that can be further modified using `ggplot2` grammar.

## Plotting options

First we can analyse a subset of data using `santaR_auto_fit()`, returning a list of SANTAObj.

    library(santaR)

    # Load a subset of the example data
    tmp_data  <- acuteInflammation$data[,1:6]
    tmp_meta  <- acuteInflammation$meta

    # Analyse data, with confidence bands and p-value
    res_acuteInf_df5 <- santaR_auto_fit(inputData=tmp_data, ind=tmp_meta$ind, time=tmp_meta$time, group=tmp_meta$group, df=5, ncores=0, CBand=TRUE, pval.dist=FALSE)

    ## Input data generated: 0.04 secs

    ## Spline fitted: 0.18 secs

    ## ConfBands done: 18.66 secs

    ## total time: 18.87 secs

### Basic plot

Each variable can be accessed either by its list position or variable name:

    # Default plot
    # individual points, individual trajectories, group mean curves and confidence bands

      # access by list position
    santaR_plot(res_acuteInf_df5[[5]])

      # access by variable name
    santaR_plot(res_acuteInf_df5$var_5)

The individual points, trajectories, group mean curves and confidence bands can be turned on or off:

      # only groupMeanCurve
    santaR_plot(res_acuteInf_df5$var_5, showIndPoint=FALSE, showIndCurve=FALSE, showGroupMeanCurve=TRUE, showConfBand=TRUE)

      # only Individuals
    santaR_plot(res_acuteInf_df5$var_5, showIndPoint=TRUE, showIndCurve=TRUE, showGroupMeanCurve=FALSE, showConfBand=FALSE)

      # add confidence bands (only available if  previously calculated)
    santaR_plot(res_acuteInf_df5$var_5, showIndPoint=TRUE, showIndCurve=TRUE, showGroupMeanCurve=TRUE, showConfBand=TRUE)

      # add a totalMeanCurve (grey)
    santaR_plot(res_acuteInf_df5$var_5, showTotalMeanCurve=TRUE )

### Adding options

Title and axis can be altered to suit the analysis:

      # add title
    santaR_plot(res_acuteInf_df5$var_5, title='A figure title')

      # remove the legend
    santaR_plot(res_acuteInf_df5$var_5, title='A variable, no legend', legend=FALSE)

      # force purple and green color
    santaR_plot(res_acuteInf_df5$var_5,  title='A variable in different colors', colorVect = c('purple','green'))

    # Default colors are in order: "blue", "red", "green", "orange", "purple", "seagreen", "darkturquoise", "violetred", "saddlebrown", "black"

      # add x and y labels
    santaR_plot(res_acuteInf_df5$var_5, title='Different axis labels', xlab='Time', ylab='Variable value')

### Updating plot with ggplot2 grammar

`santaR_plot()` returns a `ggplot2 plotObject` that can be modified using all the range of `ggplot2` grammar:

    library(ggplot2)

      # add x and y labels by adding it outside the plotting function [not useful but shows that any ggplot command can be added to the plot]
    santaR_plot(res_acuteInf_df5$var_5, title='A variable') + xlab('Time') + ylab('Variable value')

      # Constrain the x axis (will remove points and raise warnings)
    santaR_plot(res_acuteInf_df5$var_5, showConfBand=FALSE, title='A variable', xlab='Time', ylab='Variable value') + xlim(0,48)

    ## Warning: Removed 4 rows containing missing values or values outside the scale range
    ## (`geom_point()`).

    ## Warning: Removed 84 rows containing missing values or values outside the scale range
    ## (`geom_line()`).
    ## Removed 84 rows containing missing values or values outside the scale range
    ## (`geom_line()`).
    ## Removed 84 rows containing missing values or values outside the scale range
    ## (`geom_line()`).
    ## Removed 84 rows containing missing values or values outside the scale range
    ## (`geom_line()`).
    ## Removed 84 rows containing missing values or values outside the scale range
    ## (`geom_line()`).

    ## Warning: Removed 4 rows containing missing values or values outside the scale range
    ## (`geom_point()`).

    ## Warning: Removed 84 rows containing missing values or values outside the scale range
    ## (`geom_line()`).
    ## Removed 84 rows containing missing values or values outside the scale range
    ## (`geom_line()`).
    ## Removed 84 rows containing missing values or values outside the scale range
    ## (`geom_line()`).
    ## Removed 84 rows containing missing values or values outside the scale range
    ## (`geom_line()`).
    ## Removed 84 rows containing missing values or values outside the scale range
    ## (`geom_line()`).

      # Looser y limits
    santaR_plot(res_acuteInf_df5$var_5, title='A variable', xlab='Time', ylab='Variable value') + ylim(-2,5)

### Multiplots

Plots can be stored in a variables and combined in multiplots using `gridExtra grid.arrange()`:

    library(gridExtra)

      # store plot in a variable, plot multiple variables...
    p1 <- santaR_plot(res_acuteInf_df5$var_3, title='First variable', xlab='Time', ylab='Variable value')
    plot(p1)

    p2 <- santaR_plot(res_acuteInf_df5$var_4, title='Second variable', xlab='Time', ylab='Variable value')

      # multiplot
    grid.arrange(p1, p2)

      # force them side by side
    grid.arrange(p1, p2, ncol=2)

      # Force both plots on the same y limits (remove legend from plots)
    p1 <- santaR_plot(res_acuteInf_df5$var_3, title='First variable', xlab='Time', ylab='Variable value', legend=FALSE)
    p2 <- santaR_plot(res_acuteInf_df5$var_4, title='Second variable', xlab='Time', ylab='Variable value', legend=FALSE)

    p1 <- p1 + ylim(-1.2, 4.2)
    p2 <- p2 + ylim(-1.2, 4.2)

    grid.arrange(p1, p2, ncol=2 )

## See Also

- Getting Started with santaR
- How to prepare input data for santaR
- santaR theoretical background
- Graphical user interface use
- Automated command line analysis
- Selecting an optimal number of degrees of freedom
- Advanced command line options