my first language isn't English so I apologize in advance for mistakes I could do. I'm newbie in R but you will notice that anyway.
I'm trying to solve the problem of having a co-occurence matrix. I have several dataframes and I am interested in 3 variables : idT, numname and numstim. This is the unique dataframe that contains the merged data :
z=rbind(df1,df2,df3,df4,df5,df6,df7,df8,df9,df10,df11,df12,df13,df14,
df15,df16,df17,df18,df19,df20,df21,df22,df23,df24,df25,df26,df27,df28,df29,df30,df31,df32)
write.csv(z, file = ".../listz.csv")
Then I extracted the 3 variables with :
#Extract columns 3 & 6 from all the files within the list
z1 = z[,c(3,6)]
#Create a new variable 'numname' to convert name groups into numeric groups,
#then obtain levels with facNum
z1$numname <- as.numeric(z1$namegroup)
colnames(z1) <- c("namegroup", "idT", "numname")
facNum <- factor(z1$numname)
write.csv(z1, file = "...D:/z1.csv")
And data look like :
namegroup idT numname
1 GLISSEVIBREVITE 1 6
2 CINETIQUE 1 3
3 VIBRATIONS_LEGERES 1 20
4 DIFFUS 1 5
5 LIQUIDE 1 8
6 PICOTEMENTS 1 10
How to read the table : each idT is classified in a group (namegroup) and then this group is converted in a numeric variable (numname).
# Specify z1 as a data frame to make next operations
z1 = as.data.frame(z1, idT = z1$numstim, numgroup = z1$numname)
tab1 <- table(z1)
write.csv(tab1, file = ".../tab1test.csv")
out1 <- data.matrix(tab1 %*% t(tab1))
write.csv(out1, file = ".../bmtest.csv")
But the bmtest matrix doesn't look like counting pairs of idT, because only 22 users have participated and there are 32 idT, but some the numbers are much higher :
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
1 24 10 7 7 11 7 7 8 10 8 11 8 6 11 11 12
2 10 32 27 7 5 4 7 4 4 4 5 3 2 6 6 14
3 7 27 40 0 3 1 0 2 0 0 2 2 1 2 0 15
4 7 7 0 30 7 14 15 9 15 13 13 7 5 12 13 5
5 11 5 3 7 24 7 9 20 12 13 10 19 14 20 12 7
I wanna have a matrix which shows the results of a count of idT paired together. The matrix has to look like :
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
1 15 3 2 2 3 3 2 1 2 1 3 3 1 3 3 5
2 3 15 9 2 0 1 2 0 0 0 0 0 0 0 1 3
3 2 9 15 0 2 1 0 2 0 0 1 1 1 2 0 2
4 2 2 0 15 1 6 5 1 7 5 6 2 0 1 3 2
5 3 0 2 1 15 1 2 12 4 5 3 13 9 11 3 2
In other words, I want to see which idT have been paired together. I've looked at this topic but didn't find a way to solve my problem.
Also, I tried :
library(igraph)
library(tnet)
idT_numname <- cbind(z1$idT, z1$numname)
igraph <- graph.data.frame(idT_numname)
item_item <- projecting_tm(net = idT_numname, method="sum")
item_item <- tnet_igraph(item_item,type="weighted one-mode tnet")
itemmat <- get.adjacency(item_item,attr="weight")
itemmat #8x8 martrix of items to items
But I get error message and I don't know how to get over the "duplicated entries in the edgelist", because it seems necessary to me to have duplicated entries in order to do a co-occurrence matrix :
> idT_numname <- cbind(z1$idT, z1$numname)
> item_item <- projecting_tm(idT_numname, method="sum")
Error in as.tnet(net, type = "binary two-mode tnet") :
There are duplicated entries in the edgelist
> item_item <- as.tnet(net = idT_numname, type ="binary two-mode tnet", method="sum")
Error in as.tnet(net = idT_numname, type = "binary two-mode tnet", method = "sum") :
unused argument (method = "sum")
> item_item <- as.tnet(net = idT_numname, type ="binary two-mode tnet")
Error in as.tnet(net = idT_numname, type = "binary two-mode tnet") :
There are duplicated entries in the edgelist
Your help is greatly appreciated. I like to do data analysis and I want to learn more and more everyday !
Thank you
