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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