I'm using one dataset where the variable present in X has only two possible values - 2009 or 2010.
2009,01,52.4
2009,01,49.5
2009,01,53.2
2009,01,48.2
2009,01,53.9
2009,01,42.8
2009,01,56.4
2009,01,57
2009,01,50.3
2009,01,57.4
2009,01,45.2
2009,01,55
2009,01,47.1
2009,01,42.2
2009,01,57.1
2009,01,51.7
2009,01,56.8
2009,01,56.9
2009,01,55
2009,01,52.9
2009,01,52.9
2009,01,57
2009,01,45
2009,01,52.8
2009,01,52
2009,01,55.1
2009,01,53.3
2009,01,55.2
2009,01,53.2
2009,01,56.9
2009,01,55.9
2009,02,54.7
2009,02,53.1
2009,02,54.2
2009,02,56.2
2009,02,58.5
2009,02,50.9
2009,02,57.7
2009,02,54.1
2009,02,54.5
2009,02,55.3
2009,02,53.4
2009,02,53.8
2009,02,51.3
2009,02,52.3
2009,02,53
2009,02,53.6
2009,02,55
2009,02,53
2009,02,53.6
2009,02,52.5
2009,02,54.1
2009,02,50.1
2009,02,52.2
2009,02,54.3
2009,02,52.4
2009,02,53.2
2009,02,52.5
2009,02,52.7
2009,03,56.2
2009,03,58.7
2009,03,58.2
2009,03,63
2009,03,55
2009,03,55.4
2009,03,55.8
2009,03,63.8
2009,03,56
2009,03,52.3
2009,03,55.6
2009,03,56.8
2009,03,57.4
2009,03,58.7
2009,03,59.9
2009,03,57.7
2009,03,55.3
2009,03,54.9
2009,03,61.8
2009,03,54.1
2009,03,52.9
2009,03,55.5
2009,03,55.3
2009,03,66.4
2009,03,55.7
2009,03,53.2
2009,04,55.4
2009,04,60
2009,04,54.9
2009,04,55.3
2009,04,57.5
2009,04,55.8
2009,04,57.6
2009,04,55.7
2009,04,56.4
2009,04,54
2009,04,55.8
2009,04,56.8
2009,04,54.8
2009,04,55.8
2009,04,55.8
2009,04,53.5
2009,04,56.8
2009,04,54
2009,04,56.7
2009,04,57.2
2009,04,57.8
2009,04,57.3
2009,04,57.2
2009,04,57.2
2009,04,56.2
2009,04,55.2
2009,04,54.7
2009,04,57
2009,04,55.9
2009,05,59.8
2009,05,58.9
2009,05,59.3
2009,05,58.9
2009,05,60.4
2009,05,59.1
2009,05,58.5
2009,05,73.4
2009,05,62.5
2009,05,61.4
2009,05,61.1
2009,05,61.6
2009,05,67.6
2009,05,66.5
2009,05,58.6
2009,05,61.1
2009,05,62
2009,05,72.1
2009,05,59.3
2009,05,59.6
2009,05,61
2009,05,57.1
2009,05,59.2
2009,05,60.4
2009,05,60.1
2009,05,58.5
2009,05,58.9
2009,05,59.8
2009,05,62.6
2009,05,60.9
2009,05,59.5
2009,06,63.8
2009,06,65.4
2009,06,64.7
2009,06,64
2009,06,65.8
2009,06,68.3
2009,06,63.9
2009,06,64.2
2009,06,61.9
2009,06,62.9
2009,06,63.9
2009,06,69.7
2009,06,63.7
2009,06,63.4
2009,06,63.8
2009,06,64.5
2009,06,64.4
2009,06,63.9
2009,06,66.6
2009,06,70.3
2009,06,67.1
2009,06,65.8
2009,06,65.5
2009,06,62.9
2009,06,64.4
2009,06,65.4
2009,06,64.4
2009,06,63.3
2009,06,66.3
2009,06,66.7
2009,07,64.8
2009,07,66
2009,07,66.8
2009,07,69.9
2009,07,65.9
2009,07,68.6
2009,07,67.6
2009,07,66.7
2009,07,65.5
2009,07,65
2009,07,66.5
2009,07,66.7
2009,07,67.1
2009,07,67.4
2009,07,64.8
2009,07,65.8
2009,07,64.7
2009,07,66
2009,07,68
2009,07,66
2009,07,64.1
2009,07,65.8
2009,07,65
2009,07,63.3
2009,08,65.9
2009,08,65
2009,08,65.9
2009,08,64
2009,08,66.1
2009,08,64.5
2009,08,64
2009,08,66.8
2009,08,65
2009,08,64.7
2009,08,64.8
2009,08,65.8
2009,08,64.9
2009,08,64.9
2009,08,65.1
2009,08,65.2
2009,08,67
2009,08,64.8
2009,08,65.6
2009,08,66.1
2009,08,64.9
2009,08,67.1
2009,08,64.7
2009,08,64.9
2009,08,65.1
2009,08,64.1
2009,08,64.6
2009,08,66.5
2009,08,65.4
2009,08,65
2009,09,64.2
2009,09,63.1
2009,09,65.3
2009,09,64.2
2009,09,64.7
2009,09,63.9
2009,09,70.9
2009,09,70.1
2009,09,65
2009,09,65.5
2009,09,65.4
2009,09,68.1
2009,09,64.4
2009,09,65.1
2009,09,65.7
2009,09,63.2
2009,09,64.5
2009,09,64.8
2009,09,66.4
2009,09,64.9
2009,09,67.5
2009,09,66.4
2009,09,65.7
2009,09,65
2009,09,64.4
2009,09,62.5
2009,09,62.9
2009,09,63.7
2009,09,63.3
2009,10,66.6
2009,10,62.9
2009,10,63.1
2009,10,65.4
2009,10,69.4
2009,10,71.1
2009,10,64.1
2009,10,66.9
2009,10,69.4
2009,10,66.6
2009,10,63
2009,10,67.2
2009,10,68.6
2009,10,65.2
2009,10,64
2009,10,62.4
2009,10,65
2009,10,64.3
2009,10,68.6
2009,10,68
2009,10,63
2009,10,61.2
2009,10,65.3
2009,10,64.7
2009,10,67.1
2009,10,67.2
2009,10,68.5
2009,10,65.4
2009,10,64
2009,11,58.4
2009,11,66.4
2009,11,58.2
2009,11,55.7
2009,11,59.4
2009,11,62.7
2009,11,61.5
2009,11,62.2
2009,11,63.8
2009,11,62.2
2009,11,59.9
2009,11,62.5
2009,11,61.8
2009,11,63.3
2009,11,60.5
2009,11,60
2009,11,62
2009,11,60.5
2009,11,59.4
2009,11,63
2009,11,61.8
2009,11,60.6
2009,11,62.2
2009,11,62.9
2009,11,59.3
2009,11,55.6
2009,11,61.2
2009,11,57.6
2009,11,63.3
2009,11,58.1
2009,12,45.6
2009,12,59.7
2009,12,59.4
2009,12,59.5
2009,12,58
2009,12,56.5
2009,12,60.3
2009,12,55.9
2009,12,50.6
2009,12,51.3
2009,12,62.3
2009,12,58.2
2009,12,40.6
2009,12,59.4
2009,12,55.6
2009,12,61.6
2009,12,48.1
2009,12,52.3
2009,12,57.7
2009,12,60.1
2009,12,61.3
2009,12,59.7
2009,12,52.6
2009,12,51.9
2009,12,53.2
2009,12,58.7
2009,12,55.9
2010,01,57.8
2010,01,45.4
2010,01,50.5
2010,01,56.3
2010,01,58.1
2010,01,41.8
2010,01,53
2010,01,58.9
2010,01,52.5
2010,01,50.5
2010,01,56.4
2010,01,55.9
2010,01,55.4
2010,01,39
2010,01,56.4
2010,01,57.7
2010,01,59.8
2010,01,54.9
2010,01,56.1
2010,01,55.6
2010,01,57.5
2010,01,47.4
2010,01,59.5
2010,01,48.7
2010,01,59.4
2010,01,55.5
2010,01,56.3
2010,01,45.1
2010,01,49
2010,02,43.1
2010,02,53.9
2010,02,44.2
2010,02,53.2
2010,02,48.8
2010,02,44.3
2010,02,57.3
2010,02,50.4
2010,02,59.8
2010,02,58.5
2010,02,56.3
2010,02,56.7
2010,02,58.9
2010,02,51.3
2010,02,43
2010,02,58.4
2010,02,56.9
2010,02,57.2
2010,02,51.2
2010,02,50.9
2010,02,48.7
2010,02,54.4
2010,02,55.9
2010,02,53.9
2010,02,59.3
2010,03,56
2010,03,54.9
2010,03,55.9
2010,03,58.2
2010,03,60.9
2010,03,56
2010,03,57.5
2010,03,59.1
2010,03,57.4
2010,03,51.9
2010,03,58
2010,03,55.9
2010,03,57.1
2010,03,55
2010,03,60.7
2010,03,55.7
2010,03,50.3
2010,03,57.6
2010,03,60.5
2010,03,53.7
2010,03,56.5
2010,03,57.3
2010,03,52.8
2010,03,46.7
2010,03,52.3
2010,03,55.6
2010,03,52.7
2010,03,56.1
2010,03,57.1
2010,03,55.2
2010,03,57.6
2010,04,62.4
2010,04,62.6
2010,04,55.7
2010,04,62.5
2010,04,57.5
2010,04,69.5
2010,04,63.5
2010,04,62.2
2010,04,60.7
2010,04,62.5
2010,04,62
2010,04,57.6
2010,04,61.3
2010,04,54.8
2010,04,64.3
2010,04,61.4
2010,04,67.2
2010,04,63
2010,04,64.5
2010,04,57.3
2010,04,57.4
2010,04,55.8
2010,04,58.6
2010,04,60.6
2010,04,61
2010,04,56.9
2010,04,60.2
2010,04,65.3
2010,04,60.2
2010,04,59.6
2010,05,73.9
2010,05,63.3
2010,05,56.5
2010,05,63.7
2010,05,63.2
2010,05,58.9
2010,05,58.1
2010,05,71.3
2010,05,63
2010,05,64.8
2010,05,64.1
2010,05,58.6
2010,05,55.9
2010,05,57.7
2010,05,69.1
2010,05,61.4
2010,05,59.2
2010,05,58.5
2010,05,57.3
2010,05,60.2
2010,05,59.1
2010,05,67.8
2010,05,67.1
2010,05,64.7
2010,05,61.3
2010,05,58.5
2010,05,58.7
2010,05,61.7
2010,05,59.9
2010,05,65.2
2010,06,64.4
2010,06,62
2010,06,62.2
2010,06,62.7
2010,06,65.8
2010,06,65.1
2010,06,63.4
2010,06,63.3
2010,06,62.2
2010,06,61.8
2010,06,61.5
2010,06,61.7
2010,06,64.7
2010,06,62.8
2010,06,64.2
2010,06,61.4
2010,06,63.3
2010,06,62.8
2010,06,64.1
2010,06,60.5
2010,06,62.6
2010,06,62.2
2010,06,63.1
2010,06,62.9
2010,06,63
2010,06,62.5
2010,06,62.2
2010,06,63.9
2010,06,61.9
2010,06,64.3
2010,07,65
2010,07,65.3
2010,07,65.1
2010,07,65.6
2010,07,65.6
2010,07,69.8
2010,07,74.5
2010,07,64.7
2010,07,65.6
2010,07,64.6
2010,07,72.1
2010,07,66.4
2010,07,66.8
2010,07,63.7
2010,07,65.2
2010,07,63.8
2010,07,65
2010,07,66.5
2010,07,65.4
2010,07,67.1
2010,07,65.5
2010,07,66.3
2010,07,65.9
2010,07,65.5
2010,07,64.5
2010,07,65
2010,07,65.9
2010,07,64.8
2010,07,65.3
2010,07,64.8
2010,07,65.3
2010,08,65.6
2010,08,65.5
2010,08,67
2010,08,69.4
2010,08,65
2010,08,64.3
2010,08,66.9
2010,08,65.4
2010,08,64.4
2010,08,65.1
2010,08,66.4
2010,08,63.6
2010,08,65.2
2010,08,63.3
2010,08,70.1
2010,08,65.9
2010,08,68.3
2010,08,67.8
2010,08,64.4
2010,08,65.1
2010,08,64.7
2010,08,63.7
2010,08,63.5
2010,08,67.9
2010,08,70.3
2010,08,65.8
2010,08,63.9
2010,08,66.6
2010,08,67.4
2010,08,65.4
2010,08,64.1
2010,09,66.6
2010,09,70.7
2010,09,66.3
2010,09,64.5
2010,09,66.7
2010,09,68.1
2010,09,71.2
2010,09,64.4
2010,09,65
2010,09,67.8
2010,09,64.5
2010,09,66.7
2010,09,67.8
2010,09,67.6
2010,09,68.3
2010,09,67.8
2010,09,67.6
2010,09,66.4
2010,09,68.4
2010,09,67.6
2010,09,63.7
2010,09,72.2
2010,09,67.3
2010,09,67.6
2010,09,67.6
2010,09,68.4
2010,09,64.7
2010,09,68.6
2010,09,66.4
2010,10,62
2010,10,63.3
2010,10,63.6
2010,10,63.7
2010,10,61.8
2010,10,64.2
2010,10,62.9
2010,10,65.6
2010,10,64.1
2010,10,65.2
2010,10,64.8
2010,10,61.6
2010,10,64.7
2010,10,65.7
2010,10,60.9
2010,10,61.7
2010,10,65.1
2010,10,65.5
2010,10,61
2010,10,62.1
2010,10,63
2010,10,65.8
2010,10,64.3
2010,10,65.3
2010,10,64.8
2010,10,62.5
2010,10,60.7
2010,11,61.2
2010,11,60.4
and this code
library(latticeExtra)
heisenberg <- read.csv(file="ABSOLUTE_FILE_LOCATION")
x <- heisenberg[[1]]
y <- heisenberg[[2]]
z <- heisenberg[[3]]
cloud(z~x+y, heisenberg, panel.3d.cloud=panel.3dbars, col.facet='green',
xbase=0.4, ybase=0.4,scales=list(arrows=FALSE, col=1),
par.settings = list(axis.line = list(col = "transparent")))
to create this 3D bar chart
Thing is, i want the X axis to have only 2009 and 2010 instead of 2009.0, 2009.2, 2009.4 ...
I added new entries to the code and when the entry was three years before the smallest year value or three years after the highest year value,
2006,01,20
or
2013,01,20
didn't break the axis values.
This isn't the best solution because it introduces data that's not part of the original into the dataset but it's better than nothing.
Serves this question to know how to force the X axis to have only the 2 possible values, in the axis variable, without breaking them into many?