remove theme_minimal and just keep them focused on using theme_classic
Practical 1 > 6.2.3 Chain plot commands to improve graphs > new paragraph
need to add how to put error bars in this section and remove all the bivalve bit. It will need to use the fav_dat or the diet_stats data set which the standard error has been added to. e.g. "Building up graphs from simple to more complex ones like this by “chaining” commands together is always more reliable than trying to write the whole graph first. We can practice this again by plotting mean chick weight against experimental diet and this time add standard error bars to the plot. We will need to use the function gf_col because we are using the means and standard errors which you created earlier and saved in fav_dat. Once you have completed this, remember to save your practical1.R script and keep saving it regularly as you go through."
Practical 1 > 6.2.3 Chain plot commands to improve graphs > new code box
# add error bars gf_col(mean ~ Diet, data = fav_dat) %>% # Plot bar chart THEN gf_labs( y = "Mean Chick Weight (kg) +/- SE", x = "Experimental Diet") %>% # Modify axis labels THEN gf_errorbar((mean - chick_se) + (mean + chick_se) ~ Diet, width = 0.2) %>% gf_theme(theme_classic())
Practical 1 > 6.2.3 Chain plot commands to improve graphs > paragraph 3
Practical 1 > 6.2.3 Chain plot commands to improve graphs > new paragraph
gf_col
because we are using the means and standard errors which you created earlier and saved infav_dat
. Once you have completed this, remember to save your practical1.R script and keep saving it regularly as you go through."Practical 1 > 6.2.3 Chain plot commands to improve graphs > new code box
# add error bars gf_col(mean ~ Diet, data = fav_dat) %>% # Plot bar chart THEN gf_labs( y = "Mean Chick Weight (kg) +/- SE", x = "Experimental Diet") %>% # Modify axis labels THEN gf_errorbar((mean - chick_se) + (mean + chick_se) ~ Diet, width = 0.2) %>% gf_theme(theme_classic())