Version 6 (modified by 13 years ago) (diff) | ,
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xQTL workbench - Cheat sheet for R scripting
Start off by connecting R to your application database. Click R api in the top right corner and copy-paste the content into an R terminal. The R API is usually available under http://{myhost}/{myapplication}/api/R/. You can now use the following commands:
> Downloading
Retrieve annotations, all attributes
find.marker()
find.individual()
find.investigation()
Retrieve annotations, specific attributes
find.marker()[,c("name")]
find.individual()[,c("name","investigation_name")]
find.investigation()[,c("id","name")]
Get a simple overview of all data matrices
find.data()[,c("id","name","investigation","investigation_name")]
Retrieve a data matrix
dataId <- 0
data <- downloadmatrixascsvCURL(dataId)
> Uploading
Add annotations
invId <- 0
add.individual(name="testIndv", investigation_id=invId)
add.marker(name="testMarker2", cm="11.3", bpstart="456237", investigation_id=invId)
Add a completely new data matrix, including annotations
invId <- 0
data <- NULL
data <- rbind(data, c("A", "B"))
data <- rbind(data, c("B", "A"))
marker1 = add.marker(name="myMarker1", cm="10.0", investigation_id=invId)
marker2 = add.marker(name="myMarker2", cm="20.0", investigation_id=invId)
ind1 = add.individual(name="myInd1", investigation_id=invId)
ind2 = add.individual(name="myInd2", investigation_id=invId)
colnames(data) <- c("myInd1", "myInd2")
rownames(data) <- c("myMarker1", "myMarker2")
add.datamatrix(data, name="myResults", investigation_id=invId, rowtype="Marker", coltype="Individual", valuetype="Text")
Upload a file
uri <- paste(serverpath,"/uploadfile",sep="")
postForm(uri,
name = "celegan.jpg",
Investigation_name = "Studie9_10",
type = "InvestigationFile",
file = fileUpload(filename = "~/celegan.jpg"),
style = "HTTPPOST"
)
> Automized xQTL analysis
Get a parameter from server
size <- getparameter("size",jobparams)
Do a status update
report(2,"Loading 5%...")