minor edits to README at MM request

R/tests/testdir_golden/runit_quantiles_golden.R

@@ -0,0 +1,81 @@
+setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
+source('../findNSourceUtils.R')
+
+test.quantiles.golden <- function(H2Oserver) {
+
+#Import data: (the data are 20000 observations pulled from known distributions - parameters given at end of test)
+Log.info("Importing MAKE and RUNIF data...") 
+makeH2O<- h2o.uploadFile(H2Oserver, locate("../../smalldata/makedata.csv"), key="makeH2O")
+makeR<- read.csv(locate("smalldata/makedata.csv"), header=T)
+runifH2O<- h2o.uploadFile(H2Oserver, locate("../../smalldata/runif.csv"), key="runifH2O")
+runifR<- read.csv(locate("smalldata/runif.csv"), header=T)
+
+#generate quantiles from R
+qrR2<- as.data.frame(quantile(runifR[,2]))
+qrR3<- as.data.frame(quantile(runifR[,3]))
+qrR4<- as.data.frame(quantile(runifR[,4]))
+makeR2<- as.data.frame(quantile(makeR[,2]))
+makeR3<- as.data.frame(quantile(makeR[,3]))
+makeR4<- as.data.frame(quantile(makeR[,4]))
+makeR5<- as.data.frame(quantile(makeR[,5]))
+makeR6<- as.data.frame(quantile(makeR[,6]))
+makeR7<- as.data.frame(quantile(makeR[,7]))
+makeR8<- as.data.frame(quantile(makeR[,8]))
+makeR9<- as.data.frame(quantile(makeR[,9]))
+
+#generate quantiles from H2O
+qrH2<- as.data.frame(quantile(runifH2O[,2]))
+qrH3<- as.data.frame(quantile(runifH2O[,3]))
+qrH4<- as.data.frame(quantile(runifH2O[,4]))
+makeH2<- as.data.frame(quantile(makeH2O[,2]))
+makeH3<- as.data.frame(quantile(makeH2O[,3]))
+makeH4<- as.data.frame(quantile(makeH2O[,4]))
+makeH5<- as.data.frame(quantile(makeH2O[,5]))
+makeH6<- as.data.frame(quantile(makeH2O[,6]))
+makeH7<- as.data.frame(quantile(makeH2O[,7]))
+makeH8<- as.data.frame(quantile(makeH2O[,8]))
+makeH9<- as.data.frame(quantile(makeH2O[,9]))
+
+
+#Print Quantiles for Both: (note that makeH2 corresponds to the H2O quantiles for the second col of make dataframe, where makeR2 is the #quantiles produced by R for the second column of make data frame) 
+
+Log.info("Print summary for H2O and R... \n")
+
+Log.info(paste("H2O Make 2  : ", makeH2,      "\t\t", "R Make 2   : ", makeR2))
+Log.info(paste("H2O Make 2  : ", makeH2,      "\t\t", "R Make 2   : ", makeR2))
+Log.info(paste("H2O Make 3  : ", makeH3,      "\t\t", "R Make 3   : ", makeR3))
+Log.info(paste("H2O Make 4  : ", makeH2,      "\t\t", "R Make 4   : ", makeR4))
+Log.info(paste("H2O Make 5  : ", makeH2,      "\t\t", "R Make 5   : ", makeR5))
+Log.info(paste("H2O Make 6  : ", makeH2,      "\t\t", "R Make 6   : ", makeR2))
+Log.info(paste("H2O Make 7  : ", makeH2,      "\t\t", "R Make 7   : ", makeR2))
+Log.info(paste("H2O Make 8  : ", makeH2,      "\t\t", "R Make 8   : ", makeR2))
+Log.info(paste("H2O Make 9  : ", makeH2,      "\t\t", "R Make 9   : ", makeR2))
+Log.info(paste("H2O Runif 2  : ", qrH2,      "\t\t", "R Runif 2   : ", qrR2))
+Log.info(paste("H2O Runif 3  : ", qrH3,      "\t\t", "R Runif 3   : ", qrR3))
+Log.info(paste("H2O Runif 4  : ", qrH2,      "\t\t", "R Runif 4   : ", qrR4))
+
+
+
+
+Log.info("Compare H2O summary to R summary... \n")
+expect_equal(makeH2[,1], makeR2[,1], tolerance=.01)
+#expect_equal(sumBH2O[,2], sumBR[,2], tolerance=.01)
+#expect_equal(sumCH2O[,2], sumCR[,2], tolerance=.01)
+#expect_equal(sumrunifH2O[,2], sumrunifR[,2], tolerance=.01)
+#expect_equal(sumrunifH2O[,3], sumrunifR[,3], tolerance=.01)
+#expect_equal(sumrunifH2O[,4], sumrunifR[,4], tolerance=.01)
+
+testEnd()
+}
+
+doTest("Summary on Random Uniform Dist", test.quantiles.golden)
+
+#NOTES ON MAKEDATA 
+#A: normal, mean: -100, sd = 50
+#B: uniform, min: -5000, max: 2000
+#C: poisson, lambda: 5
+#D: cauchy, location: 50, scale: 500
+#E: binom, size=100, prob=.1
+#F: binom, size=100, prob=.02
+#G: binom, size=10, prob=.01
+#H: exponential: rate= .4

h2o-scala/README.rst

@@ -40,6 +40,7 @@ Currently the library supports following expressions abstracting H2O API.
   shutdown          - shutdown H2O cloud
 
 *M/R commands*
+
 ::
 
 
@@ -55,6 +56,7 @@ Build Scalala
 To build Shalala `sbt` is required. You can get `sbt` from http://www.scala-sbt.org/release/docs/Getting-Started/Setup.
 
 To compile Shalala please type:
+
 ::
 
   sbt compile
@@ -63,7 +65,7 @@ To compile Shalala please type:
 Launch REPL
 -----------
 Shalala provides an integrated Scala REPL exposing H2O DSL. 
-You can start REPL via `sbt`:
+You can start REPL via ``sbt``:
 
 ::
 
@@ -73,7 +75,7 @@ You can start REPL via `sbt`:
 Key points of implementation
 ----------------------------
 * Using primitive types specialization (to allow for generation code using primitive types)
-* All objects passed around cloud has to inherits from `water.Iced`
+* All objects passed around cloud has to inherits from ``water.Iced``
 
 Examples
 --------
@@ -107,7 +109,9 @@ FAQs
      
     > eclipse
 
-  - In Eclipse use the *Import Wizard* to import the project into workspace
+  - In Eclipse use the ``Import Wizard`` to import the project into
+    workspace
+
 
 * **How to run REPL from Eclipse?**