I first developed a Shiny app similar to this as part of the video course "Learning R for Data Visualization", which I published with Packt:
In the video course the focus was on developing an Shiny app for the first time, so the final app was relatively simple. This new version includes more plots, a list is available below:
- Histograms (with option for faceting)
- Barchart (with error bars, and option for color with dodging and faceting)
- BoxPlots (with option for faceting)
- Scatterplots (with options for color, size and faceting)
- TimeSeries
Error bars in barcharts are computed with the mean_se function in ggplot2, which computes error bars as mean ± standard error. When the color option is set, barcharts are plotted one next to the other for each color (option dodging).
For scatterplots, if the option for faceting is provided each plot will include a linear regression lines.
I tested several lines of code trying to save each olot and allow users to download what they created in tif at 300dpi. However, nothing worked so far. I will keep try and if anyone has suggestion please feel free to include them in the code provided.
Please report any bug or requests for new features.