Reference Lines ?
Additional Theme Options
1. Use CropStoreDB or upload your data file in CSV format. R default options for read.csv will apply except for missing values where both NA and dot . are treated as missing. If your data has columns with other non-numeric missing value codes then it will be treated as factors.
2. It is assumed that your data is ready for ggplot (long format).
3. x and y variables input allow numeric and factor variables.
4. Sliders for x and y variables appear only for numeric variables.
5. For more than one y variable stack your data first. Then you can use values for y variable and your variable identifier for facetting. You might also want to use Facet Scales: free_x or free_y in the Graph Options tab.
6. The UI is dynamic and changes depending on your choices of options, x ,y, filter, group and so on.
7. There is two slots for Filter variables. Use these to apply exclusions on your data.
8. Filter variable 2 is applied after filter variable 1. Values shown for filter variable 2 will depend on your previous data exclusions via x/y sliders or filter variable 1.
9. If you want to change a numerical variable to categorical include it in the list of Categorical variables and then choose a number of cuts (default is 3). This helps when you want to group or color by cuts of a continuous variable.
10. You can simply change a numeric variable to factor without binning in the treat as categories slot.
11. Download the plot using the options on the 'Download' tab.
12. Visualize the data table in the 'Data' tab. You can reorder the columns, filter and much more.