24 Days of R: Day 12

December 12, 2013

(This article was first published on PirateGrunt » R, and kindly contributed to R-bloggers)

Today, I'm going to finally dip my toe in the water of something I've wanted to do for a long time. I'd wanted to do this with Michael Caine film appearances- and I may yet- but tonight, it'll be a bit simpler. I'm going to draw a network graph, showing the relationship between band members of the Grateful Dead and a couple of their solo and non-Dead projects. Information is from my head or wikipedia, reflecting the most recent band lineups.

First, I'll create data frames for several bands.

dfGratefulDead = data.frame(Musician = c("Jerry Garcia", "Bob Weir", "Phil Lesh", 
    "Bill Kreutzmann", "Mickey Hart", "Pigpen"), Instrument = c("guitar", "guitar", 
    "bass", "drums", "drums", "keyboards"))

dfJerryGarciaBand = data.frame(Musician = c("Jerry Garcia", "John Kahn", "Melvin Seals", 
    "David Kemper", "Jaclyn LaBranch", "Gloria Jones"), Instrument = c("guitar", 
    "bass", "keyboards", "drums", "vocals", "vocals"))

I've created data frames for RatDog and the Other Ones as well, but the code and results are not shown. Next, I'll code a helper function to create relationships between band members.

CreateRelation = function(dfBand, BandName) {

    indices = combn(length(dfBand$Musician), 2)

    dfRelate = data.frame(from = dfBand$Musician[indices[1, ]], to = dfBand$Musician[indices[2, 
    dfRelate$Band = BandName



With that in place, I can create relationships and then rbind the results. I tried adding a color column for a musicians instrument, but haven't had any luck in being able to apply it in the plot. Suggestions are welcome.

dfGDrelate = CreateRelation(dfGratefulDead, "GratefulDead")
dfJGBrelate = CreateRelation(dfJerryGarciaBand, "Jerry Garcia Band")
dfRatDogRelate = CreateRelation(dfRatDog, "RatDog")
dfOtherOnesRelate = CreateRelation(dfOtherOnes, "The Other Ones")

dfMusicians = rbind(dfGratefulDead, dfJerryGarciaBand, dfRatDog, dfOtherOnes)

dfMusicians = dfMusicians[!duplicated(dfMusicians), ]

dfInstrumentColor = data.frame(Instrument = c("bass", "drums", "guitar", "keyboards", 
    "vocals", "saxophone"), Color = c("black", "beige", "red", "blue", "green", 
dfMusicians = merge(dfMusicians, dfInstrumentColor)
dfMusicians = dfMusicians[, c("Musician", "Instrument", "Color")]

dfRelations = rbind(dfGDrelate, dfJGBrelate, dfRatDogRelate, dfOtherOnesRelate)

g = graph.data.frame(dfRelations, directed = FALSE, vertices = dfMusicians)

plot(g, vertex.color = g$Color)

plot of chunk unnamed-chunk-5

Note the mashup of Bobby, Mickey, Bill and Phil in the center. They've had a lot of crossover post 1995. If I didn't have to work tomorrow, I'd probably spend the next few hours playing with this. Developing a chart of all the permutations of Yes, Asia, King Crimson, etc. could take the better part of an evening.

## R version 3.0.2 (2013-09-25)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## locale:
## [1] LC_COLLATE=English_United States.1252 
## [2] LC_CTYPE=English_United States.1252   
## [3] LC_MONETARY=English_United States.1252
## [4] LC_NUMERIC=C                          
## [5] LC_TIME=English_United States.1252    
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## other attached packages:
## [1] knitr_1.4.1      RWordPress_0.2-3 xtable_1.7-1     igraph_0.6.6    
## loaded via a namespace (and not attached):
## [1] digest_0.6.3   evaluate_0.4.7 formatR_0.9    RCurl_1.95-4.1
## [5] stringr_0.6.2  tools_3.0.2    XML_3.98-1.1   XMLRPC_0.3-0

To leave a comment for the author, please follow the link and comment on their blog: PirateGrunt » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Mango solutions

RStudio homepage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training




CRC R books series

Six Sigma Online Training

Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)