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rgraphplotscatter-plottrial

Plot study means of multiple studies as scatterplot with point size corresponding to the study sample size

I have clustered randomized control trial data from 26 sites, 11 receiving the treatment and 15 receiving the control. Each site has a different number of participants.

For each site, the treatment or control is labelled 1 or 0. I have the odds ratio, log odds ratio and probability of treatment success in each site. For example the points for the sites with a higher number of participants should have a bigger data point.

What I would like to do is have a graph plotting the mean odd or log odds of each site as a data point. However, I want each data point to be bigger or smaller to reflect the sample size at each site.

The x-axis will be labeled treatment and control, the y-axis will be either odds or log odds.

Solution

  • Only using ggplot2's basic function qplot, you can go miles...

    # Generate data
seed(1234)
dat <- data.frame(site=1:26, treatment=factor(c(rep(1,11),rep(0,15))), n.part=rbinom(26, size = 400, prob = .5), OddsRatio = runif(n = 26, min = 0.3, max=2.0))

library(ggplot2)
qplot(x = treatment, y = OddsRatio, size = n.part, data = dat, xlab = "Treatment")

    plot