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--- tutorials:sensitivity-analysis-using-grolink-and-gror [2025/06/06 17:07] – [Sensitivity analysis on GroIMP models using GroR] t
+++ tutorials:sensitivity-analysis-using-grolink-and-gror [2025/09/24 16:31] (current) – t
@@ Line 160: / Line 160: @@
                          ){
   # Open workbench with model
-  wb1 <- GroLink.open("http://localhost:58081/api", path="Example08_prepared.gsz")
+  wb1 <- GroLink.open("http://localhost:58081/api", content = readBin("D:/Example08_prepared.gsz", "raw", 10e6))
   # Override parameters.rgg with new values from params vector
   WBRef.updateFile(wb1, "param/parameters.rgg",
@@ Line 217: / Line 217: @@
 {{:tutorials:rplot.png?500|}}
+===== Dump of R code to grab datasets via API =====
+<code R>
+wb <- GroLink.open("http://localhost:58081/api",
+               content = readBin("../GroIMP/volume_distance_estimate.gsz", "raw", 10e6) )
+GroR::WBRef.addNode(wb, content = readBin("tief12-treeqsm.qsm", "raw", 10e6), inp = "qsm")
+WBRef.runRGGFunction(wb, "run")
+WBRef.runRGGFunction(wb, "calc")
+WBRef.runRGGFunction(wb, "writeCSV")
+string <- WBRef.getDataset(wb,"voldist")
+out <- read.csv(textConnection(WBRef.getDataset(wb,"voldist")), sep = ",", header = F)
+WBRef.close(wb)
+plot(m)
+</code>