I'll like to create several barplots using centroid locations to position them. I already have a plot code for the polygons I want to combine them with. These are from a floor plan and not a geographical area around the world. Unfortunately, I have several points unlike the example in the link below which has just three points. How do I plot this using ggplot2 to cover all my points? Here is the sample ggplot code I want to add the barplot to:
ggplot() + theme_minimal()+ theme(plot.title = element_text(hjust = 0.5,face="bold",size=14),line=element_line(size=0.2),
panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
axis.text.x=element_blank(),axis.text.y=element_blank(),strip.text = element_text(size=11, face = "bold"),axis.title.x = element_blank(),
axis.title.y = element_blank(),legend.title=element_text(size=9, face = "bold"))+
geom_polygon(aes(x =long, y = lat, group = group), size=0.5,color="black",fill="black",alpha=0.2, data =shp1_data.frame)+
geom_polygon(aes(x =long, y = lat, group = group), size=0.5,color="white",fill="black",alpha=0.2, data =shp4_data.frame)
head(read.table("Sampledata.txt",header=T),15)
Location_i variable value x y
1 A005 Head 0.0000000 1238.509 -970.4791
2 A005 Hair 0.0000000 1238.509 -970.4791
3 A005 Knees 0.1666667 1238.509 -970.4791
4 A005 Ears 0.0000000 1238.509 -970.4791
5 A005 Heart 0.0000000 1238.509 -970.4791
6 A005 Mouth -0.1666667 1238.509 -970.4791
7 A005 Toes 0.0000000 1238.509 -970.4791
8 A028 Head 0.0000000 1538.509 -870.4791
9 A028 Hair 0.0000000 1538.509 -870.4791
10 A028 Knees 0.0000000 1538.509 -870.4791
11 A028 Ears 0.0000000 1538.509 -870.4791
12 A028 Heart 1.0000000 1538.509 -870.4791
13 A028 Mouth -1.0000000 1538.509 -870.4791
14 A028 Toes 0.0000000 1538.509 -870.4791
15 A030 Toes 0.0000000 1738.509 -870.6731
I have put a sample of the data Here in my drive with the x and y location fields, value, variable ad location ID. the plot is grouped around each centroid (location_i) using the variable field.
##To read in the text file after downloading
A1<-read.table("Sampledata.txt",header=T)