Having upgraded to R version 2.12.1 I still have the same problem:
The combination of facet_grid and geom_hline produce (for me) 4 panels
of which two are empty of any data or lines (labelled "1" and "2").
Removing either the facet_grid or the geom_hline gives me the result I
would then expect.
I have tried forcing the rhythm to be a factor
Anyone have any ideas?
Sandy
Dennis Murphy wrote:
Hi:
The attached plot comes from the following code:
g <- ggplot(data =f, aes(x = (variable_time + fixed_time)/2, y
variable_time - fixed_time))
g + geom_point() + geom_hline(yintercept =) + facet_grid(ecd_rhythm ~ .)
Is this what you were expecting?
> sessionInfo()
R version 2.12.1 Patched (2010-12-18 r53869)
Platform: x86_64-pc-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=glish_United States.1252
[2] LC_CTYPE=glish_United States.1252
[3] LC_MONETARY=glish_United States.1252
[4] LC_NUMERIC=nbsp;
[5] LC_TIME=glish_United States.1252
attached base packages:
[1] splines stats graphics grDevices utils datasets
grid
[8] methods base
other attached packages:
[1] data.table_1.5.1 doBy_4.2.2 R2HTML_2.2 contrast_0.13
[5] Design_2.3-0 Hmisc_3.8-3 survival_2.36-2 sos_1.3-0
[9] brew_1.0-4 lattice_0.19-17 ggplot2_0.8.9 proto_0.3-8
[13] reshape_0.8.3 plyr_1.4
loaded via a namespace (and not attached):
[1] cluster_1.13.2 digest_0.4.2 Matrix_0.999375-46
reshape2_1.1
[5] stringr_0.4 tools_2.12.1
HTH,
Dennis
On Tue, Jan 18, 2011 at 1:46 AM, Small Sandy (NHS Greater Glasgow &
Clyde) <sandy.sm...@nhs.net <ailto:sandy.sm...@nhs.net%22>> wrote:
Hi
I have a long data set on which I want to do Bland-Altman style
plots for each rhythm type
Using ggplot2, when I use geom_hline with facet_grid I get an
extra set of empty panels.
I can't get it to do it with the "Diamonds" data supplied with
the package so here is a (much abbreviated) example:
> lvexs
cvd_basestudy ecd_rhythm fixed_time variable_time
1 CBP05J02 AF 30.9000 29.4225
2 CBP05J02 AF 33.1700 32.0350
3 CBP05J02 AF 32.5700 30.2775
4 CBP05J02 AF 32.0550 33.7275
5 CBP05J02 SINUS 30.9175 28.3475
6 CBP05J02 SINUS 30.5725 29.7450
7 CBP05J02 SINUS 33.0000 31.1550
9 CBP05J02 SINUS 31.8350 30.7000
10 CBP05J02 SINUS 34.0450 33.4800
11 CBP05J02 SINUS 31.3975 29.8150
> qplot((variable_time + fixed_time)/2, variable_time -
fixed_time, data=exs) + facet_grid(ecd_rhythm ~ .) +
geom_hline(yintercept=0)
If I take out the geom_hline I get the plots I would expect.
It doesn't seem to make any difference if I get the mean and
difference separately.
Can anyone explain this and tell me how to avoid it (and why
does it work with the Diamonds data set?
Any help much appreciated - thanks.
Sandy
Sandy Small
Clinical Physicist
NHS Forth Valley
and
NHS Greater Glasgow and Clyde
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