# librarylibrary(ggplot2)# Keep 30 first rows in the mtcars natively available datasetdata=head(mtcars,30)# 1/ add text with geom_text, use nudge to nudge the textggplot(data,aes(x=wt,y=mpg))+geom_point()+# Show dotsgeom_text(label=rownames(data),nudge_x =0.25,nudge_y =0.25,che...
bxp + stat_pvalue_manual(stat.test, label ="p.adj.signif")# Manually specify the y positionbxp + stat_pvalue_manual(stat.test, label ="p.adj.signif", y.position =35)# Bar plotstat.test <- stat.test %>% add_xy_position(fun ="mean_sd", x ="dose") bp + stat_pvalue_manual...
install.packages("ggplot2")# Install ggplot2 packagelibrary("ggplot2")# Load ggplot2 In the next step, we can draw a ggplot2 scatterplot with a fitted line without any limitations: ggp<-ggplot(data, aes(x, y))+# Draw ggplot2 plot without limits for fitted linegeom_point()+stat_smoot...
An implementation of the Grammar of Graphics in R. Contribute to tidyverse/ggplot2 development by creating an account on GitHub.
ggp + # Add text element to plot annotate("text", x = 1.5, y = 2.2, label = "Text No. 1")As shown in Figure 2, the previous syntax has created a ggplot2 plot with one text element in the middle of the plot.Example 2: Annotate Multiple Text Elements to ggplot2 Plot...
dat_text[dat_text$pvalue<0.01,]$label <- paste("**", "P<0.01", sep=" ") library(ggplot2) options(repr.plot.width=8, repr.plot.height=12) # 8x8 g2 <- ggplot(data=genes_expr_melt, aes(x=pseudotime, y=value, fill=group, color=group)) + geom_point(size=0.01, alpha=0.5,...
label = fct_reorder(label, -share_renewable_precise)) %>% ggplot(aes(fill = name, values = value)) + geom_waffle(n_rows = 10, cols = 100, size = 0.2, colour = "white", flip = TRUE, show.legend = FALSE) + scale_fill_manual(name = NULL, values = c("#77C3C2", "grey87"...
For more on plotting math code see this ggplot wiki and this SO question. To alter the size just throw a size argument in geom_text. I also toned down the color of the text a bit to allow the line to pop the most visually. p + geom_text(aes(x, y, label=paste("beta ==", ...
p <- ggplot(df, aes(wt, mpg)) + geom_point(color = 'red') + theme_classic(base_size = 10) Add text labels: # Add text annotations using ggplot2::geom_text p + geom_text(aes(label = rownames(df)), size = 3.5) # Use ggrepel::geom_text_repel require("ggrepel") set.seed...
corresponding label. The random seed is reset after jittering. If `NA`, the seed is initialized with a random value; this makes sure that two subsequent calls start with a different seed. Use NULL to use the current random seed and also avoid resetting (the behaviour of ggplot 2.2.1 and...