bug fix + switch maintainer

.Rbuildignore

@@ -1 +1,3 @@
 ^\.travis\.yml$
+^.*\.Rproj$
+^\.Rproj\.user$

.editorconfig

@@ -0,0 +1,14 @@
+# EditorConfig is awesome: http://EditorConfig.org
+
+# top-most EditorConfig file
+root = true
+
+# Unix-style newlines with a newline ending every file
+[*]
+end_of_line = lf
+insert_final_newline = true
+
+# 3 space indentation
+[*.py]
+indent_style = space
+indent_size = 3

.gitignore

@@ -6,3 +6,8 @@
 
 # R data files from past sessions
 .Rdata
+.Rproj.user
+
+# Mac folder stuff
+.DS_Store
+

DESCRIPTION

@@ -1,17 +1,18 @@
 Package: binr
-Title: Cut Numeric Values Into Evenly Distributed Groups
-Version: 1.0
+Title: Cut Numeric Values into Evenly Distributed Groups
+Version: 1.2
 Author: Sergei Izrailev
-Maintainer: Sergei Izrailev <sizrailev@collective.com>
-Description: This package provides algorithms for cutting numerical values
+Maintainer: Sergei Izrailev <sizrailev@jabiruventures.com>
+Description: Implementation of algorithms for cutting numerical values
     exhibiting a potentially highly skewed distribution into evenly distributed
     groups (bins). This functionality can be applied for binning discrete
     values, such as counts, as well as for discretization of continuous values,
     for example, during generation of features used in machine learning
     algorithms.
-URL: http://github.com/collectivemedia/binr
+URL: http://github.com/jabiru/binr
 Depends:
     R (>= 2.15),
 License: Apache License (== 2.0)
 Copyright: Copyright (C) Collective, Inc. | file inst/COPYRIGHTS
 LazyData: true
+RoxygenNote: 6.0.1

NAMESPACE

@@ -1,5 +1,8 @@
-# Generated by roxygen2 (4.0.1): do not edit by hand
+# Generated by roxygen2: do not edit by hand
 
+S3method(bins,data.frame)
+S3method(bins,default)
+S3method(predict,binr)
 export(bins)
 export(bins.getvals)
 export(bins.greedy)

NEWS

@@ -1,2 +1,14 @@
+Version 1.2
+- Implementation of the predict() method by @smsaladi
+- Handling of NAs by @smsalady
+- Documentation updates
+Version 1.1
+- Fixed a bug in bins.getvals handling the case where number of bins is 1.
+  Example:
+      lst <- bins(c(rep(1,5), rep(0, 1000)), target.bins=3, minpts=10)
+      bins.getvals(lst)
+
+- Updated maintainer email and copyrights
+
 Version 1.0
-First public release. 
+First public release.

R/binr-package.R

@@ -1,46 +1,46 @@
 #-------------------------------------------------------------------------------
 #
-# Package binr 
+# Package binr
+#
+# General description
 #
-# General description 
-# 
 # Sergei Izrailev, 2011-2014
 #-------------------------------------------------------------------------------
 # Copyright 2011-2014 Collective, Inc.
-# 
+#
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
-# 
+#
 # http://www.apache.org/licenses/LICENSE-2.0
-# 
+#
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #-------------------------------------------------------------------------------
-#' Package \code{binr} (pronounced as "binner") provides algorithms for cutting 
-#' numerical values exhibiting a potentially highly skewed distribution into 
-#' evenly distributed groups (bins). This functionality can be applied for 
-#' binning discrete values, such as counts, as well as for discretization of 
-#' continuous values, for example, during generation of features used in machine 
+#' Package \code{binr} (pronounced as "binner") provides algorithms for cutting
+#' numerical values exhibiting a potentially highly skewed distribution into
+#' evenly distributed groups (bins). This functionality can be applied for
+#' binning discrete values, such as counts, as well as for discretization of
+#' continuous values, for example, during generation of features used in machine
 #' learning algorithms.
-#' 
+#'
 #' @name binr
 #' @aliases binr
-#' @seealso \code{\link{bins}}, \code{\link{bins.quantiles}}, \code{\link{bins.optimize}}, \code{\link{bins.greedy}} 
+#' @seealso \code{\link{bins}}, \code{\link{bins.quantiles}}, \code{\link{bins.optimize}}, \code{\link{bins.greedy}}
 #' @docType package
-#' @title Cut Numeric Values Into Evenly Distributed Groups (bins). 
+#' @title Cut Numeric Values Into Evenly Distributed Groups (bins).
 #' @author Sergei Izrailev
-#' @section Maintainer: Sergei Izrailev 
-#' @section Copyright: Copyright (C) Collective, Inc.
-#' @section License: Apache License, Version 2.0, 
+#' @section Maintainer: Sergei Izrailev
+#' @section Copyright: Copyright (C) Collective, Inc.; with portions Copyright (C) Jabiru Ventures LLC
+#' @section License: Apache License, Version 2.0,
 #'    available at http://www.apache.org/licenses/LICENSE-2.0
-#' @section URL: http://github.com/collectivemedia/binr
-#' @section Installation from github: 
-#' \code{devtools::install_github("collectivemedia/binr")}
+#' @section URL: http://github.com/jabiru/binr
+#' @section Installation from github:
+#' \code{devtools::install_github("jabiru/binr")}
 #' @keywords csv delimited file read.csv bigint 64-bit integer64
-#' 
+#'
 # The next and last line should be the word 'NULL'.
 NULL