Tests, code coverage and some new functionality

.gitignore

@@ -2,3 +2,5 @@
 .Rhistory
 .RData
 TODO.txt
+lib
+*.html

.travis.yml

@@ -3,7 +3,7 @@ sudo: required
 warnings_are_errors: true
 
 after_success:
-  - Rscript -e 'covr::codecov()'
+  - Rscript -e 'library(covr); codecov()'
 
 r_github_packages:
   - hadley/testthat # for skip_if_not_installed

DESCRIPTION

@@ -8,20 +8,22 @@ Authors@R: c(person("Tal", "Galili", role = c("aut", "cre", "cph"), email =
     person("Jonathan", "Sidi", email = "[email protected]", comment = "https://github.com/yonicd",role = "ctb"),
     person("Alan", "O'Callaghan", comment = "https://github.com/Alanocallaghan",role = "ctb"),
     person("Yoav", "Benjamini", email = "[email protected]",role = "ths"))
-Description: Create interactive cluster 'heatmaps' that can be saved as a stand-alone HTML
-    file, embedded in 'R Markdown' documents or in a 'Shiny' apps, and available in the 'RStudio' viewer pane, .
-    Hover the mouse pointer over a cell to show details or drag a rectangle to
-    zoom. A 'heatmap' is a popular graphical method for visualizing high-dimensional
-    data, in which a table of numbers are encoded as a grid of colored cells. The
-    rows and columns of the matrix are ordered to highlight patterns and are often
-    accompanied by 'dendrograms'. 'Heatmaps' are used in many fields for visualizing
-    observations, correlations, missing values patterns, and more. Interactive
-    'heatmaps' allow the inspection of specific value by hovering the mouse over a
-    cell, as well as zooming into a region of the 'heatmap' by dragging a rectangle
-    around the relevant area. This work is based on the 'ggplot2' and 'plotly.js'
-    engine. It produces similar 'heatmaps' as 'heatmap.2' or 'd3heatmap', with the advantage of speed
-    ('plotly.js' is able to handle larger size matrix), the ability to zoom from the 'dendrogram' panes,
-    and the placing of factor variables in the sides of the 'heatmap'.
+Description: Create interactive cluster 'heatmaps' that can be saved as a stand-
+    alone HTML file, embedded in 'R Markdown' documents or in a 'Shiny' apps, and
+    available in the 'RStudio' viewer pane, . Hover the mouse pointer over a cell
+    to show details or drag a rectangle to zoom. A 'heatmap' is a popular graphical
+    method for visualizing high-dimensional data, in which a table of numbers
+    are encoded as a grid of colored cells. The rows and columns of the matrix
+    are ordered to highlight patterns and are often accompanied by 'dendrograms'.
+    'Heatmaps' are used in many fields for visualizing observations, correlations,
+    missing values patterns, and more. Interactive 'heatmaps' allow the inspection
+    of specific value by hovering the mouse over a cell, as well as zooming into
+    a region of the 'heatmap' by dragging a rectangle around the relevant area.
+    This work is based on the 'ggplot2' and 'plotly.js' engine. It produces
+    similar 'heatmaps' as 'heatmap.2' or 'd3heatmap', with the advantage of speed
+    ('plotly.js' is able to handle larger size matrix), the ability to zoom from
+    the 'dendrogram' panes, and the placing of factor variables in the sides of the
+    'heatmap'.
 Depends:
     R (>= 3.0.0),
     plotly (>= 4.5.2),
@@ -39,11 +41,14 @@ Imports:
     colorspace,
     RColorBrewer,
     GGally,
-    htmlwidgets
+    htmlwidgets,
+    assertthat
 Suggests:
     knitr,
+    covr,
     rmarkdown,
-    gplots
+    gplots,
+    testthat
 VignetteBuilder: knitr
 License: GPL-2 | GPL-3
 URL: https://cran.r-project.org/package=heatmaply,

NAMESPACE

@@ -35,16 +35,16 @@ export(YlGn)
 export(YlGnBu)
 export(YlOrBr)
 export(YlOrRd)
-export(ggheatmap)
 export(heatmaply)
 export(heatmapr)
 export(is.heatmapr)
 export(is.na10)
 export(normalize)
 export(percentize)
-export(side_color_plot)
 import(dendextend)
 import(ggplot2)
+importFrom(assertthat,assert_that)
+importFrom(dendextend,as.ggdend)
 importFrom(dendextend,color_branches)
 importFrom(dendextend,find_k)
 importFrom(dendextend,is.dendrogram)
@@ -53,10 +53,12 @@ importFrom(dendextend,rotate)
 importFrom(dendextend,seriate_dendrogram)
 importFrom(dendextend,set)
 importFrom(htmlwidgets,saveWidget)
+importFrom(plotly,add_segments)
 importFrom(plotly,config)
 importFrom(plotly,ggplotly)
 importFrom(plotly,hide_colorbar)
 importFrom(plotly,layout)
+importFrom(plotly,plot_ly)
 importFrom(plotly,plotly)
 importFrom(plotly,plotly_empty)
 importFrom(plotly,subplot)