In Example 2, I’ll demonstrate how to use the ggcorrplot package (i.e. ggplot2 style) to visualize non-significant p-values in a correlation matrix plot.In order to use the functions of the ggcorrplot package, we first need to install and load ggcorrplot:install.packages("ggcorrplot")...
a character string to separate the terms. Default is ", ", to separate the correlation coefficient and the p.value. label character string specifying label type. Allowed values include "p.signif" (shows the significance levels), "p.format" (shows the formatted p value). label.x.npc, label...
#creating a plot and assigning it to an object plot_obs <- ggplot(data=nlsy_math_long, #data set aes(x = grade, y = math, group = id)) + #calling variables geom_line() + #adding lines to plot theme_bw() + #changing style/background scale_x_continuous(breaks = 2:8, name =...
ggplot(ad, aes(x=relatedness, y=p.values))+geom_point(aes(color=pop), size=4) #correlation test between Mantel test p values and mean relatedness cor.test(ad$relatedness, ad$p.values) #p=0.722 and correlation is 0.18 ``` 0 comments on commit 31a7712 Please sign in to comment. Foo...
Utility functions that retrieve information from, remove elements of, and add text to a plot object created by ggplot2 - GitHub - statech/ggutils: Utility functions that retrieve information from, remove elements of, and add text to a plot object created
design nor the analysis plan was preregistered. All analyses were performed in IBM SPSS Statistics version 28.0.1.0, except for the figure which was created using the ggplot2 package (Wickham et al.,2016) in RStudio version 2023.12.1. Analytical code is available by contacting the first ...
If you want to learn more, you can check the [waffle section](waffle.html) of the gallery and [how to play with subgroups and colors](407-geom-waffle-multiple-groups.html) in waffle charts. <!-- Close container --> ```{r, echo=FALSE} # Correlation | Ranking | Evolution.. htm...
stats::setNames(names(SILO)) %>% dplyr::mutate(date=zoo::index(SILO[[1]]$tsd)) dat<-dat %>% tidyr::pivot_longer(!date,names_to="variable",values_to="value") p<-ggplot2::ggplot(dat)+ ggplot2::geom_line(ggplot2::aes(date,.data$value,col=.data$variable))+3...
Description: The 'linkET' package can be used to visualize simply and directly a matrix heatmap based on 'ggplot2'. It provides a solution for reordering the correlation matrix, displaying the different significance level on the plot and other details. The most important parts, it also provi...
# Compute a matrix of correlation p-values p.mat <- ggcorrplot::cor_pmat(states) p.mat ``` ```{r} cor.test(states[,1],states[,2]) ``` ```{r} ggcorrplot::ggcorrplot(cor(states), hc.order = TRUE, type = "lower", outline.color = "white", ggtheme = ggplot2::theme...