Dear Contributors,
I would like to ask help on how to create a plot that is the overlapping
of two other plots.
It is a geom_bar structure, where I want to count the occurrences of two
variables, participation1 and participation2 that I recoded as factors as
ParticipationNOPUN and ParticipationPUN to have nice names in the legend.
The variables to "count" in the two plots are delta11_L and delta2_L
These are my data and code to create the two plots. I would like to put
them in the same plot as superimposed areas so that I see the change in the
distribution of counts in the two cases.
This is DB:
participation1 participation2 ParticipantsNOPUN ParticipantsPUN delta11_L
delta2_L
[1,] 1 1 2 2
0 0
[2,] 1 1 2 2
-10 -10
[3,] 1 1 2 2
-10 0
[4,] 1 1 2 2
0 0
[5,] 1 1 2 2
0 0
[6,] 1 1 2 2
0 0
[7,] 1 0 2 1
-30 30
[8,] 1 1 2 2
0 10
[9,] 1 0 2 1
10 40
[10,] 1 1 2 2
0 0
[11,] 0 0 1 1
20 0
[12,] 1 1 2 2
10 0
[13,] 1 1 2 2
0 0
[14,] 1 1 2 2
0 0
[15,] 1 1 2 2
20 10
[16,] 1 1 2 2
0 0
[17,] 1 1 2 2
0 0
[18,] 1 1 2 2
-10 30
[19,] 0 0 1 1
30 10
[20,] 1 1 2 2
10 10
[21,] 1 1 2 2
0 0
[22,] 1 1 2 2
0 0
[23,] 1 1 2 2
0 -10
[24,] 1 1 2 2
0 -20
[25,] 1 1 2 2
10 -10
[26,] 1 1 2 2
0 0
[27,] 1 1 2 2
0 0
First PLOT(I need to subset the data to eliminate some NA. NB: the two
dataframes end up not having the same number of rows for this reason):
ggplot(data=subset(DB, !is.na(participation1)), aes(x = delta11_L, fill
=ParticipantsNOPUN))+
geom_bar(position = "dodge")+ theme_bw(base_size = 12) +
labs(x="Delta Contributions (PGG w/out punishment)")+
theme(legend.position = "top",legend.title = element_blank())
+scale_fill_brewer(palette="Set1")
Second PLOT:
ggplot(DB, aes(x = delta2_L, fill =ParticipantsPUN) , aes(x = delta2_L,
fill =ParticipantsPUN))+
geom_bar(position = "dodge")+ theme_bw(base_size = 12) + labs(x="Delta
Contributions (PGG w/punishment)")+
theme(legend.position = "top",legend.title = element_blank())
+scale_fill_brewer(palette="Set1")
is it possible to create a density plot of the two counts data on the same
plot?
Do I need to create a variable count or long data format?
Thanks
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