ggally

I am trying to create a Kaplan-Meier plot with 95% confidence bands plus having the censored data in a table beneath it. I can create the plot, but not the table. I get the error message: Error in grid.draw(both) : object 'both' not found. library(survival) library(ggplot2) library(GGally) library(gtable) data(lung) sf.sex <- survfit(Surv(time, status) ~ sex, data = lung) pl.sex <- ggsurv(sf.sex) + geom_ribbon(aes(ymin=low,ymax=up,fill=group),alpha=0.3) + guides(fill=guide_legend("sex")) pl.sex tbl <- ggplot(df_nums, aes(x = Time, y = factor(variable), colour = variable,+ label=value)) + geom

Is it possible to round the correlations digits in ggpairs to, for example 2 digits somehow? library(GGally) ggpairs(iris, columns = 1:4, mapping = ggplot2::aes(col = Species)) Here is a modified version of ggally_cor . I added the sgnf parameter, indicating the number of significant digits. mycor <- function(data, mapping, alignPercent = 0.6, method = "pearson", use = "complete.obs", corAlignPercent = NULL, corMethod = NULL, corUse = NULL, sgnf=3, ...) { if (!is.null(corAlignPercent)) { stop("'corAlignPercent' is deprecated. Please use argument 'alignPercent'") } if (!is.null(corMethod)) {

I am trying to hard-code the desired line color for a particular ggparcoord plot. For instance, when I create my ggparcoord plot below: library(GGally) x = data.frame(a=runif(100,0,1),b=runif(100,0,1),c=runif(100,0,1),d=runif(100,0,1)) x$cluster = "green" x$cluster2 = factor(x$cluster) ggparcoord(x, columns=1:4, groupColumn=5, scale="globalminmax", alphaLines = 0.99) + xlab("Sample") + ylab("log(Count)") Even though I try to specify a color of "green", I get a pink color. How can I control the color of the lines in ggparcoord? (By the way, I want all lines the same color as I specify). You

I am trying to create a correlation matrix using GGpairs, the scatterplots are coloured by group (reg or irreg). The correlation values plotted on the upper corner are not aligned, as you see in the image here the Cor, reg and irreg values are not aligned. The code I use is this: ggpairs(data=dat4, columns=1:5, title="correlation matrix", mapping= aes(colour = irregular), lower = list( continuous = "smooth", combo = "facetdensity", mapping = aes(color = irregular))) The data is here: replicatable data Any suggestion? Thank you thank you! Chuck This seems to work: ggpairs(data=dat4, columns=1:5

My question is twofold; I have a ggpairs plot with the default upper = list(continuous = cor) and I would like to colour the tiles by correlation values (exactly like what ggcorr does). I have this: I would like the correlation values of the plot above to be coloured like this: library(GGally) sample_df <- data.frame(replicate(7,sample(0:5000,100))) colnames(sample_df) <- c("KUM", "MHP", "WEB", "OSH", "JAC", "WSW", "gaugings") ggpairs(sample_df, lower = list(continuous = "smooth")) ggcorr(sample_df, label = TRUE, label_round = 2) I had a brief go at trying to use upper = list(continuous = wrap

I have the following dataset and codes to construct the 2d density contour plot for each pair of variables in the data frame. My question is whether there is a way in ggpairs() to make sure that the scales are the same for different pairs of variables like the same scale for different facets in ggplot2. For example, I would like the x scale and y scale are all from [-1, 1] for each of the picture. Thanks in advance! The plot looks like library(GGally) ggpairs(df,upper = list(continuous = "density"), lower = list(combo = "facetdensity")) #the dataset looks like print(df) x y z w 1 0.49916998 -0