Error-Not an igraph object

[P1011]

Hi- I am trying to do a principle component analysis for measures of centrality and on my last line of code below it returns the error "Error in calculate_centralities(Advice_Network, include = pr_cent[7, 11, :
The input is not an igraph object or may not be connected." - Note that I have checked the class of the Advice_ Network by doing class(Advice_Network) and it returned that it is igraph.

library(igraph)
my_data <- read.csv(file.choose(), header=TRUE, row.names=1)
my_advicematrix <- as.matrix(my_data)
Advice_Network <- graph.adjacency(my_advicematrix,mode="directed",diag=FALSE)
Advice_Network
library(CINNA)
data("Advice_Network")
plot (Advice_Network)
pr_cent <-proper_centralities(Advice_Network)
calculate_centralities(Advice_Network, include = pr_cent[7,11,15]) %>%
pca_centralities(scale.unit = TRUE)

[nirgrahamuk]

@P1011

The input is not an igraph object or may not be connected." - Note that I have checked the class of the Advice_ Network by doing class(Advice_Network) and it returned that it is igraph.

That implies it's not connected.

[P1011]

do you know how to fix that?

[nirgrahamuk]

Have you tried visualising your igraph?

[P1011]

I did and it looks quite strange- I'm not sure how to make all the nodes connected because with the data there are some nodes that just aren't chosen.

[nirgrahamuk]

I don't know what you are doing so it's hard to advise you. Presumably you could eliminate the minority nodes that don't connect the majority, and calculate statistics on that connected group.

[P1011]

thank you for your help!