Hi,
I have a dataframe like this:
procedure property sensor_data sensor_date
| | | |
[1,] "PAT_Laser_2" "Distance" "30.42" "2010-09-30T15:00:12+0200"
[2,] "PAT_Laser_2" "Distance" "31.22" "2010-10-31T15:05:07+0100"
[3,] "PAT_Laser_2" "Distance" "30.42" "2011-09-30T15:00:12+0200"
[4,] "PAT_Laser_2" "Distance" "31.22" "2011-10-31T15:05:07+0100"
[5,] "PAT_Laser_1" "Distance" "50.1252" "2010-09-30T15:00:12+0200"
[6,] "PAT_Laser_1" "Distance" "48.532" "2010-10-31T15:05:07+0100"
[7,] "PAT_Laser_1" "Distance" "50.1252" "2011-09-30T15:00:12+0200"
[8,] "PAT_Laser_1" "Distance" "48.532" "2011-10-31T15:05:07+0100"
[9,] "PAT_Laser_2" "Distance_B" "3.42" "2010-09-30T15:00:12+0200"
[10,] "PAT_Laser_2" "Distance_B" "131.22" "2010-10-31T15:05:07+0100"
[11,] "PAT_Laser_2" "Distance_B" "303.42" "2011-09-30T15:00:12+0200"
[12,] "PAT_Laser_2" "Distance_B" "131.22" "2011-10-31T15:05:07+0100"
[13,] "PAT_Laser_1" "Distance_B" "530.1252" "2010-09-30T15:00:12+0200"
[14,] "PAT_Laser_1" "Distance_B" "428.532" "2010-10-31T15:05:07+0100"
[15,] "PAT_Laser_1" "Distance_B" "530.1252" "2011-09-30T15:00:12+0200"
[16,] "PAT_Laser_1" "Distance_B" "148.532" "2011-10-31T15:05:07+0100"
In order to identify each "sensor_data" with the columns "property" and
"procedure" I create a new column "key" in this way:
procedure property sensor_data sensor_date
key
1 PAT_Laser_2 Distance 30.42 2010-09-30T15:00:12+0200
PAT_Laser_2.Distance
2 PAT_Laser_2 Distance 31.22 2010-10-31T15:05:07+0100
PAT_Laser_2.Distance
3 PAT_Laser_2 Distance 30.42 2011-09-30T15:00:12+0200
PAT_Laser_2.Distance
4 PAT_Laser_2 Distance 31.22 2011-10-31T15:05:07+0100
PAT_Laser_2.Distance
5 PAT_Laser_1 Distance 50.1252 2010-09-30T15:00:12+0200
PAT_Laser_1.Distance
6 PAT_Laser_1 Distance 48.532 2010-10-31T15:05:07+0100
PAT_Laser_1.Distance
7 PAT_Laser_1 Distance 50.1252 2011-09-30T15:00:12+0200
PAT_Laser_1.Distance
8 PAT_Laser_1 Distance 48.532 2011-10-31T15:05:07+0100
PAT_Laser_1.Distance
9 PAT_Laser_2 Distance_B 3.42 2010-09-30T15:00:12+0200
PAT_Laser_2.Distance_B
10 PAT_Laser_2 Distance_B 131.22 2010-10-31T15:05:07+0100
PAT_Laser_2.Distance_B
11 PAT_Laser_2 Distance_B 303.42 2011-09-30T15:00:12+0200
PAT_Laser_2.Distance_B
12 PAT_Laser_2 Distance_B 131.22 2011-10-31T15:05:07+0100
PAT_Laser_2.Distance_B
13 PAT_Laser_1 Distance_B 530.1252 2010-09-30T15:00:12+0200
PAT_Laser_1.Distance_B
14 PAT_Laser_1 Distance_B 428.532 2010-10-31T15:05:07+0100
PAT_Laser_1.Distance_B
15 PAT_Laser_1 Distance_B 530.1252 2011-09-30T15:00:12+0200
PAT_Laser_1.Distance_B
16 PAT_Laser_1 Distance_B 148.532 2011-10-31T15:05:07+0100
PAT_Laser_1.Distance_B
Now I want to plot the "sensor_data" column for each "sensor_date" so I
create a matrix in this way:
m<-tapply(matrix2plot2[,"sensor_data"],matrix2plot2[,c("sensor_date","key")],c)
key
sensor_date PAT_Laser_1.Distance PAT_Laser_1.Distance_B
PAT_Laser_2.Distance PAT_Laser_2.Distance_B
2010-09-30T15:00:12+0200 9 10
4 3
2010-10-31T15:05:07+0100 8 7
6 1
2011-09-30T15:00:12+0200 9 10
4 5
2011-10-31T15:05:07+0100 8 2
6 1
(1° PROBLEM)
And here there is the first problem: instead of having "sensor_data" inside
the matrix there is a sequence of numbers 1,2...,10. (I think it is a way to
simplify the matrix but I would like the original values).
Apart this problem when I do:
matplot(m, type="o", xaxt="n", lty=1)
It is ok, It plots the matrix, each line on the plot represents a column.
(2° PROBLEM)
I would like to have 2 plots, one for the values with "property"= distance
and the other for "property"=distance_B. Is there a way to do this without
use directly the names "distance" and "distance_B" (so it should be possible
to use this method also for other matrix with other "property").
Is it clear?? I don't know if I explained the problem in a clear way.....
Thanks!
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