library(ggplot2)ggplot(all,aes(x=DPscale,y=WD,group=Sp_ind_core))+geom_line()+theme_bw()+facet_wrap(facets=~Species,ncol=5) The challenge for me is to add a line of the fitted values from a linear mixed effects model using the lme function in the nlme package in R. Her...
1,4) DF=data.frame(data1,data2) ggplot(DF,aes(data1,data2))+geom_point(colour="dodgerblue",alpha=0.75)+geom_smooth(method=lm,se=F,aes(colour="Line of best fit"))+ geom_abline(intercept = 0, slope = 1, linetype="dashed", colour="black", alpha=1,size=1) ...
library(ggplot2) set.seed(147) x <- sort(exp(rnorm(10000) * 4), decreasing = TRUE)[seq_len(100)] (gpd <- gpdfit(x)) # updated version ggplot(mapping = aes(x = gpd$k, y = gpd$w_theta)) + geom_point() + geom_line() + labs( title = "Normalized marginal posterior density...
An alternative approach is to use ggplot2's facets to show each line in its own small plot. Here, we have two options. First, you could use a consistent plot region for all of the maps with fixed scales (the default of facet_wrap). We will set the option quiet = TRUE to avoid pr...
An alternative approach is to use ggplot2's facets to show each line in its own small plot. Here, we have two options. First, you could use a consistent plot region for all of the maps with fixed scales (the default of facet_wrap). We will set the option quiet = TRUE to avoid pr...