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)*
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