Dear All, I am trying to plot some element of the below lists which contains 10,000 rows. For instance lfdr_true on x-axis vs hi and and I also include estimates as points on the plot.
However, as you can notice the real difference comes in the later decimal places and not in the first 2 to 3 decimal places. Can someone suggest how to expand the scale to 6 places of decimals? head(all_simulated_samples[[1]]) gene lower hi estimate covered lfdr_true 1 0 0.9999962 0.9913568 TRUE 0.9564683 2 0 0.9999999 0.9965426 TRUE 0.9184360 3 0 0.9999997 0.9941567 TRUE 0.9783095 4 0 0.9999990 0.9949874 TRUE 0.9342528 5 0 0.9999971 0.9943081 TRUE 0.9053046 6 0 0.9999921 0.9854756 TRUE 0.9927538 Following is the format of code I am using after extracting some values from list: x1<-min(lfdr.true) x2<-max(lfdr.true) plot(lfdr.true, original.estimate, pch=19, col = "dark red",xlim = c(x1,x2)) points(upper.limit, pch=24, col = "dark green") However, it doesn't help in differentiating the points I am plotting as they are so close upto first two decimal places. I would really appreciate any suggestions or comments. Thank you. Best Regards, Tasneem -- *Dr. Tasneem Zaihra* *PhD(Statistics)* *Assistant Professor* *UNB-SJ**, Saint John, NB, CA* *Tel:506-648-5624 (office)* [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.