ggExtra: Add marginal distributions plots to ggplot2 scatter plots Insert an external graphical element inside a ggplot Mix table, text and ggplot2 graphs Infos To arrange multiple ggplot2 graphs on the same page, the standard R functions - par() and layout() - cannot be used. This R tutor...
ggplot(data, aes(x = x, y = y1)) + # Basic ggplot2 plot of x & y1 geom_point()Figure 1: Basic Scatterplot Created by ggplot2 Package.In Figure 1, you can see the result of the previous R code: A scatterplot of x and y1....
In my actual code I am doing a large for-loop, looping through several variables, making a correlation with each and making scatterplots, where I name the scatterplots dependent on their significans level. I then want to re-display the plots that were significant in a grid, in a dynamic...
Squamous cell carcinoma (SCC) and adenocarcinoma (AC) are two main histological subtypes of solid cancer; however, SCCs are derived from different organs with similar morphologies, and it is challenging to distinguish the origin of metastatic SCCs. Here
Scatterplot matrix was generated using the R graphing package ggplot2. Full size image Table 1 Numerical summaries of chemosensitivity parameters in HMCLs Full size table However, we did find some examples of HMCLs that were highly sensitive to one PI, and comparably less sensitive to other PIs...
Multiple myeloma (MM) remains a challenging hematologic malignancy despite advancements in chimeric antigen receptor T-cell (CAR-T) therapy. Current targets of CAR-T cells used in MM immunotherapy have limitations, with a subset of patients experiencing antigen loss resulting in relapse. Therefore, ...
FIGURE 6.1: Colored scatterplot of relationship of teaching score and age. In the resulting Figure 6.1, observe that ggplot() assigns a default in red/blue color scheme to the points and to the lines associated with the two levels of gender: female and male. Furthermore, the geom_smooth(...
Use ggplot to create a scatterplot of the data, making the size of the points 0. library(ggplot2) p = ggplot(data = plotData, aes(x = year, y = yield)) + geom_point(size = 0) + theme_bw() + xlab("Year") + ylab("Yield") ...
Statistical analysis All statistical and downstream analysis were carried out using R (v3.3.2). The pheatmap, FSA, plot3D, corrplot, proxy, maftools, ggplot2, ggscatter and boot packages were used. To characterize the patients and events in the study, we used median (IQR) and frequency (%...
(G) Scatterplots of average normalized expression of cell-type-specific TF mRNA and its TF-motif-fold enrichment (Z score as in Figure 5F) in each mouse TG cell type. Pearson’s r between gene expression and motif enrichment in each cell type is displayed. (H) UMAP plots of 59,921 na...