I use ggplot to plot on multiple datasets, however I would like to build them so that each dataset has its own geom_line function geom_line that I can split the lines and hide them if necessary.
ggplot(MeanFrameMelt, aes(x=variable, y=value, color=Legend, group=Legend)) + geom_line()
Input table after conversion with melt function in reseape package:
Legend variable value table_A.txt V1 0.008927491 table_B.txt V1 0.009080929 table_C.txt V1 0.008513332 table_D.txt V1 0.008337751 table_A.txt V2 0.008957742 table_B.txt V2 0.009100265 table_C.txt V2 0.008508966
table A must be one geom_line (line on the graph) of table B a second geom_line , etc. Is it possible or do I need to go back and change the melting of the previous data frame?
Edit: ok this is a melt function:
library(plyr) library(reshape) MeanFrameMelt <- melt(MeanFrame2, id.vars="Legend")
The data that I gave you has only two points for each row, so imagine that you have hundreds of points from each table (A, B, C and D), so there will be four rows in this graph. I want to be able to disable each row using a check box, but for this I need to have a unique identifier for each row that will allow me to do this. So I was thinking about making a separate + geom_line(for table A) + geom_line(for table B) + geom_line(for table C)...
Hope this clarifies a bit.
Edit2: this is how the graph now looks, and it should look the same after that, but with 4 geom_line calls instead of the one that it has:

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