R-Markdown

R Markdown Figures

This is a follow-up to R Markdown Data Analysis.

Now that you have completed your analysis, you want to visualize the analysis for more user-friendly presentation. You decide to use the ggplot() to create some bar graphs that will display the data.

1. Add an R code chunk named “NDVI_plot” with the code needed to produce a barplot of the treatment means for the post-freeze NDVI decline. Be sure to label the axes appropriately.

2. Use geom_text() to add labels to the bars to indicate significant differences between treatment means. Use the vjust, nudge_y, and size arguments for geom_text() to size and position the labels appropriately.

3. Add a sensible caption to the figure (including a figure number) using the fig.cap chunk option.

4. Add a new R code chunk named “yield_plot” with R code to produce an equivalent figure for the yield data. Be sure to include appropriate axis labels, bar labels for statistically significant differences, and a suitable figure caption.

5. Set the echo chunk option for both code chunks so that no R code is displayed in the final output.

6. Add a sentence or two to your Results section describing the figures and referencing them appropriately.

[click here for output] [click here for output]