Rlabkey (version 3.2.1)

saveResults: Returns an object representing a LabKey schema

Description

A wrapper function to labkey.saveBatch which uses a session object and provides defaults for the Batch/Run names.

Usage

saveResults(session, assayName, resultDataFrame, 
  batchPropertyList= list(name=paste("Batch ", as.character(date()))),
  runPropertyList= list(name=paste("Assay Run ", as.character(date()))))

Value

an object representing the assay.

Arguments

session

the session key returned from getSession

assayName

a string specifying the name of the assay instance

resultDataFrame

a data frame containing rows of data to be inserted

batchPropertyList

a list of batch Properties

runPropertyList

a list of run Properties

Author

Peter Hussey

Details

saveResults is a wrapper function to labkey.saveBatch with two changes: First, it uses a session object in place of the separate baseUrl and folderPath arguments. Second, it provides defaults for generating Batch and Run names based on a current timestamp.

To see the save result on LabKey server, click on the "SimpleMeans" assay in the Assay List web part.

References

https://www.labkey.org/home/project-begin.view

See Also

getSession, getSchema, getLookups, getRows

Examples

Run this code
if (FALSE) {

## Very simple example of an analysis flow:  query some data,
## calculate some stats, then save the calculations as an assay
## result set in LabKey Server
# library(Rlabkey)

s<- getSession(baseUrl="http://localhost:8080/labkey",
    folderPath="/apisamples")
scobj <- getSchema(s, "lists")
simpledf <- getRows(s, scobj$AllTypes)

## some dummy calculations to produce and example analysis result
testtable <- simpledf[,3:4]
colnames(testtable) <- c("IntFld", "DoubleFld")
row <- c(list("Measure"="colMeans"), colMeans(testtable, na.rm=TRUE))
results <- data.frame(row, row.names=NULL, stringsAsFactors=FALSE)
row <- c(list("Measure"="colSums"), colSums(testtable, na.rm=TRUE))
results <- rbind(results, as.vector(row))

bprops <- list(LabNotes="this is a simple demo")
bpl<- list(name=paste("Batch ", as.character(date())),properties=bprops) 
rpl<- list(name=paste("Assay Run ", as.character(date())))

assayInfo<- saveResults(s, "SimpleMeans", results,
    batchPropertyList=bpl, runPropertyList=rpl)

}

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