scale_size_continuous(guide = FALSE) + # don't show legend theme_minimal() + # apply minimal theme theme(panel.grid = element_blank(), # remove all lines of plot raster text = element_text(size = 16)) # increase font size ## Animated Plot # ...show ratings for different subsets ...
ggplot(mpg, aes(x = displ, y = hwy, color = fl, linetype = fl, size=fl)) + geom_point() + geom_line(aes( ) )+ labs(color="What is fl")+# customize linetype, color, sizescale_linetype_manual(values=c("twodash","dotted","twodash","dotted","twodash"))+ scale_color_man...
If you want the text to be as large as possible, the argumentgrow = TRUEwill increase the text size to the maximum that will fit in the box. This works well in conjunction withreflow: ggplot(animals, aes(x=type,y=flies,label=animal))+geom_tile(fill="white",colour="black")+geom_fit...
colour = "red", # label label.size = 8, # label fontface = "bold", # label fontfamily = "serif", # label angle = 45, # label hjust = 1, # labelvjust= 2, # label bracket.colour = "blue", # bracket bracket.size = 1, # bracket linetype = "dashed", # bracket lineend =...
Finally, we will increase the size of the dots and add transparency to make overlapped data visible. ggplot(data = df, aes(x = DATE, y = TAVG, color = TAVG))+geom_point(size = 7, alpha = 0.8)+scale_color_gradient(name = "ºC", low = "#47BEFB", high = "#ED6AA8")+...
Not in this case. But we can add arguments usingtheme()to change it ourselves. Since we are adding this layer on top (i.e later in sequence), any features we change will override what is set in thetheme_bw(). Here we’llincrease the size of the axes labels and axes tick labels ...
Increase colors in discrete scale Setup paired color scales. Lots of great color pairs in the extracted colors. Set up continuous scale colors (we’ll see…) Fonts A handwriting font is needed for the fully authentic pomological look, and I found a few from Google Fonts that fit the bill....
geom_boxplot(aes(fill = supp)) + theme_prism() p + add_pvalue(df_p_val, label ="p = {p.adj}", colour ="supp", fontface ="bold", step.group.by ="supp", step.increase =0.1, tip.length =0, bracket.colour ="black", show.legend =FALSE)...
To increase the readability, we are going to flip the coordinates (note that we could also switch x and y arguments in theggplot2call - but this does not work for boxplots, so we usecoord_flip()). It is also a good practice to include the 0 in plots which we can force by adding...
Notice that adding more aesthetic mappings to our plot is not always a good idea! We may just increase complexity and decrease readability. Hide # 3 aesthetics: qsec vs. mpg, colored by fcylggplot(mtcars, aes(mpg, qsec, color = fcyl)) + ...