This together should give you a good idea of how ggplot2 works when choosing how to label the axes. If you want to get really crafty, you can define the labels the same time as the factor and they will be used for the axis labels instead of the name of the levels: df2 16000")) It's common to use the caption to provide information about the data. Use the plot title and subtitle to explain the main findings. Always ensure the axis and legend labels display the full variable name. Option 2a: Factor and define labels together Good labels are critical for making your plots accessible to a wider audience. Here, you don't need the breaks= argument (the levels of the factor are used): df$income 16000"),position="bottom") The other option is to convert to a factor first, then use scale_x_discrete(). Option 2 : Convert to Factor and use Discrete Scale Here are two examples using the following dummy dataset. You can either use scale_x_continuous() or convert to a discrete value (factor), then use scale_x_discrete(). To add a geom to the plot use + operator. geomboxplot() for, well, boxplots geomline() for trend lines, time series, etc. The trim argument in geomviolin() is set to FALSE to avoid trimming the violin plot at the minimum and maximum values. geompoint() for scatter plots, dot plots, etc. ggplot2 offers many different geoms we will use some common ones today, including. Set axes FALSE inside your plotting function to remove the plot box and add the new axes with the axis function. add ‘geoms’ graphical representations of the data in the plot (points, lines, bars). Note that the at argument sets where to show the tick marks. As such, scale_x_discrete() should be replaced with scale_x_continuous(). Set xaxt 'n' and yaxt 'n' to remove the tick labels of the plot and add the new labels with the axis function. The geomlabel geometry does not require x-axis and y-axis values. boxplot(tot_sp ~ hab, data = mydata, axis(1, at=seq(1, 2), labels = labels.It seems your issue has to do with trips_renamed$income being a class "integer" or "numeric". We need to let geomlabel know what character to use in the plot. Some other scripts I have tried, none have worked. Script boxplot(tot_sp ~ hab, data = mydata, xlab= "Habitat Type", ylab = "Total # Species") This is the data and the code without trying to override the labels I have a number of other boxplots to do as well, some will have more than 2 values on the x axis. Basically I just want 'Riparian' to come first, then 'Floodplain'. I would like to be able to override the x labels from the data frame with my own labels OR decide the order of the values along the x axis. This puts them in the order I want but then the label isn't neat. In my data frame I changed the names to have an 'a' or 'b' at the beginning. Using cowplot to create multiple plots in one figure. There are still other things you can do with facets, such as using space 'free'.The Cookbook for R facet examples have even more to explore. I notice it automatically arranges the x groups in alphabetical order, which doesn't suit my needs. ggplot2 with facet labels as the y axis labels. ggplot2: axis manipulation and themes References Load ggplot2 Create plot Change title, X axis label, and Y axis label Change text style in title and X/Y. I am creating boxplots for some survey data in R using boxplot(). If we have many unique elements or repeated in a column of an R data frame and create a graph using that column, either on X-axis or Y-axis then R automatically choses the axes labels, this might not display all the unique values of the column in the plot. A guide to creating modern data visualizations with R. Sorry if this is very basic, but I am quite new to this. Although strongly based on the ggplot2 package, other approaches are included as well.
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