#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 =...
IfNULL, the default, the data is inherited from the plot data as specified in the call toggplot(). Adata.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. Seefortify()for which variables will be created. Afunctionwill be called ...
We will use the `theme_minimal()` theme from the `ggplot2` package. We will then update it to match the style of the chart. Here are the main parameters that we will update: - `plot.background`: set in white - `axis.text`: removed - `panel.grid`: removed - `text`: set in ...
ggplot(DF.prot,aes(x=X1,y=X2))+geom_point()+geom_segment(aes(x=X1,y=X2,xend = Y1, yend = Y2),arrow = arrow(length = unit(0.1,"cm"))) + ggtitle("Correlation between duplicates in second batch of samples (arrow length indicates the difference)") PROTEST ``` *9- Merge Dupli...
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 ...
ggplot2::theme_bw() } p <- suppressWarnings(ggpubr::annotate_figure(ggpubr::ggarrange(ggpubr::ggarrange(p1,p3,nrow=1,widths = c(2,1)),p2,ncol=1),paste(site,station_name))) suppressWarnings(ggplot2::ggsave(paste0(out_folder,site,"_plot.png"),p,width=22,height=15,units="cm"...
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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...