how to remove panel title and add points onto lattice plot

Question

I have two data frames:

df1 <- read.table(text = "
Time    Score   ID
 -83       19   C1
 -69       17   C2
 -55       15   C3
 -28       22   C4
   0       27   C5", header=TRUE)

df2 <- read.table(text = "
Time    Score   ID
 -83       19   C1
 -55       15   C3
   0       27   C5", header=TRUE)

I want to create a xyplot with df1, grouped by ID, but without labeling each ID. Then add points to the existing xyplot with points from df2

library(lattice)
xyplot(df1$Score ~ df1$Time | df1$ID, type ="b", cex = .5)

Would appreciate suggestions on how not to label each ID (remove panel title) then add df2 as points to the existing plot

Could be helpful. http://stackoverflow.com/questions/15803149/how-to-add-points-to-multi-panel-lattice-graphics-bwplot — Psidom, Jul 06 '16 at 02:51
df2 is a subset of df1, with the same values. df2 values will overplot df1 values. Is this what you want? — DaveTurek, Jul 06 '16 at 12:19

Josh O'Brien · Answer 1 · 2016-07-06T22:35:15.520

2

Set strip=FALSE to suppress the 'panel titles'. Then, after taking care to make sure the ID factor levels in the two data.frames match up, you could use latticeExtra::as.layer() to plot data from the second data.frame onto the plot constructed using the first:

library(latticeExtra)

## Fiddly bit needed to make sure, e.g., that level `C3` is coded 
## using the same number (here a '3') in both ID columns.
df2$ID <- factor(df2$ID, levels = levels(df1$ID))

## Plot data from both data.frames onto the same plot
xyplot(Score ~ Time | ID, data = df1, type ="b", cex = .5, strip = FALSE) + 
as.layer(xyplot(Score ~ Time | ID, data = df2, type ="b", 
                cex = 5, drop.unused.levels = FALSE))

edited Jul 06 '16 at 22:35

answered Jul 06 '16 at 16:17

Josh O'Brien

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Thanks so much Josh! Works beautifully! – user2783615 Jul 06 '16 at 18:19
@user2783615 Cool. Glad to hear that helped! – Josh O'Brien Jul 06 '16 at 22:36

how to remove panel title and add points onto lattice plot

1 Answers1