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 =...
but doesnotneed to beincluded inaes()since we are specifying how large we want the data points, rather than mapping it to a variable. Add in thesizeargument by specifying a number for the size of the data point:
tables.height: numeric value (in [0 - 1]) specifying the general height of all tables under the main survival plot. Increase the value when you have many strata. Default is 0.25. Specific to the risk table risk.table.title: the title to be used for the risk table. ...
Then we can reuse the single line of code we already used to make a scatter plot, and the “black and white” theme will be applied, along with a larger base font size (the default is 12, so we have set it to be twice as large as the default). Note that the different font ...
x = 1.7, gp = gpar(fontsize = 12))) themeto increase the bottom and left margin, and to suppress the automatically generated axis titles. We useto generate the text that serves as axis title and sub-title, if necessary, the text is rotated. ...
fun.data = ~mean_se(., mult =1.96),# Increase `mult` value for bigger interval!geom ="errorbar", )library(patchwork) p1+p2+p3 ## No summary function supplied, defaulting to `mean_se()` ## No summary function supplied, defaulting to `mean_se()` ...
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...
geom_quadrant_lines(),geom_vhlines()data labels, scale labels, dataxintercept, yintercept, label, size, family, font face, colour, alpha, group, vjust, hjustno Geometries defined in package ‘ggpp’.1NPC versions exist for these geometries, as well as forgeom_text()andgeom_label(), used...
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")...
Which data science skills are important ($50,000 increase in salary in 6-months) Markov Switching Multifractal (MSM) model using R package Dashboard Framework Part 2: Running Shiny in AWS Fargate with CDK Something to note when using the merge function in R Better Sentiment Analysis with...