Dear useRs, I'm having trouble with what is likely a very simple issue with a simple graph. I have data in the format pasted below - total from which this is a subset is > 3 million rows. I'm plotting "Window" on the x axis, and either of the other two columns on the y axis. In both the second and third columns, the values are in a range from 0 to 1. I want to be able to plot *only* the points for which the y value is below a certain cutoff - say, 0.1. But when I try to do this, I end up filtering out the whole row from the data set, and I want to retain the "Window" and just not have any y-value plotted as a point in that window. I'm attaching what I've been able to plot with ggplot - sorry for the file size. I'd like to be able to plot just the points shaded in blue, for example. Any help is appreciated. Kelly V. Code for the ggplot:
ggplot(chr9, aes(x=Window, y=ExplantInv, colour=ExplantInv))+
+ geom_point() + + scale_colour_gradientn(colours=rainbow(4)) Example Data:
head(chr9, n=50)
Window Explant ExplantInv 1 168030 0.036590781 0.9634092 2 168031 1.000000000 0.0000000 3 168032 1.000000000 0.0000000 4 168033 1.000000000 0.0000000 5 168034 1.000000000 0.0000000 6 168035 1.000000000 0.0000000 7 168036 1.000000000 0.0000000 8 168037 1.000000000 0.0000000 9 168038 0.011638925 0.9883611 10 168039 0.416783189 0.5832168 11 168040 1.000000000 0.0000000 12 168041 0.031325696 0.9686743 13 168042 0.118549313 0.8814507 14 168043 1.000000000 0.0000000 15 168044 1.000000000 0.0000000 16 168045 1.000000000 0.0000000 17 168046 1.000000000 0.0000000 18 168047 1.000000000 0.0000000 19 168048 1.000000000 0.0000000 20 168049 1.000000000 0.0000000 21 168050 1.000000000 0.0000000 22 168051 0.312449302 0.6875507 23 168052 1.000000000 0.0000000 24 168053 1.000000000 0.0000000 25 168054 1.000000000 0.0000000 26 168055 1.000000000 0.0000000 27 168056 1.000000000 0.0000000 28 168057 1.000000000 0.0000000 29 168058 1.000000000 0.0000000 30 168059 0.836044243 0.1639558 31 168060 1.000000000 0.0000000 32 168061 1.000000000 0.0000000 33 168062 0.001734177 0.9982658 34 168063 1.000000000 0.0000000 35 168064 1.000000000 0.0000000 36 168065 1.000000000 0.0000000 37 168066 0.001596044 0.9984040 38 168067 1.000000000 0.0000000 39 168068 1.000000000 0.0000000 40 168069 1.000000000 0.0000000 41 168070 1.000000000 0.0000000 42 168071 1.000000000 0.0000000 43 168072 1.000000000 0.0000000