I am trying to plot several wordclouds in a scatterplot and I wonder if one can control the position of a wordcloud in ggplot? As an example the code below over
Sample data frame: df <- data.frame(x=rep(1:10,4),y=rnorm(40),Case=rep(c("B","L","BC","R"),each=10)) I can plot each time series in its own facet with: g
I have a ggplot command ggplot( rates.by.groups, aes(x=name, y=rate, colour=majr, group=majr) ) inside a function. But I would like to be able to use a param
I have two questions for this graph I did: The first, is how do I decrease the graph size?, I have tried with coord_fixed: ggplot(x, aes(fill=is_pass, y=pe
My shiny app generates a number of useful graphs. I would like to allow the user to download the graphs in various formats. I have done this before for a single
Here is a link to my data. I use the following code: #read in data data = read.csv("ggplot_data.csv") #order by group then year data = arrange(data, group, y
I am missing something crucial here and can't see it. Why does min and max not work to set the axis limits? mtcars %>% select(mpg, cyl, disp, wt) %>
I have the following dataset date region Nr_individuals Povertydecile 01-01-2019 1 80 2 01-01-2019
I have a data set (named data) as follows site year month supplier FG total 540853 2015 1 790122 T25 3 540853 2015 3 7901
I have created plots of heart rate recovery against time, using ggplot2. I have noticed them seem to have an inflection point where the heart rate levels off. I
I have two sets of data, which I want to present using a heat map with the viridis color scale. For the first data set, my values range from 0 to 1.2 and I can
I have this dataframe: set.seed(50) data <- data.frame(age=c(rep("juv", 10), rep("ad", 10)), sex=c(rep("m", 10), rep("f", 10)),
I am trying t o plot a bar plot using ggplot2as follows: library(ggplot2) ggplot(mtcars, aes(factor(carb))) + geom_bar() + coord_flip() x axis is a con
I have a dataframe with daily datas for some factors ("fill" var) I would like to plot an area plot with the ggplot2::geom_area function but there could be miss
I am creating a multi panel figure that includes a ComplexHeatmap object so I am using multi_panel_figure() instead of ggarrange(). I have tried to include an
I found this easy way to create a correlation heatmap using ggplot2: data(attitude) library(ggplot2) library(reshape2) ggplot(melt(cor(attitude)), aes(Var1,
Consider the following example: p <- ggplot(data = data.frame(A=c(1,2,3,4,5,6,7,8),B=c(4,1,2,1,3,2,4,1),C=c("A","B","A","B","A","B","A","B"))) p <- p + g
I am fairly certain I have seen a solution for this somewhere, but as I have been unable to find it, here is my problem. I have some time series data identifi
This is using base, where I can control the x and y axis range, where exactly the line should be drawn. plot(mtcars$mpg, mtcars$hp, ylim = c(0, 400), xlim = c(
I want to plot the trend of the density (Density.est) of 3 species (Emar,Ecos and Sphyr) over time (2008,2009,2010) for two protection levels of a protected are