update doc and fix unused variables

Author: hbaniecki

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: modelStudio
 Title: Interactive Studio for Explanatory Model Analysis
-Version: 1.1.0.9000
+Version: 1.2.0
 Authors@R:
     c(person("Hubert", "Baniecki", role = c("aut", "cre"),
              email = "[email protected]",

NEWS.md

@@ -1,6 +1,9 @@
 # modelStudio (development)
+* ...
+
+# modelStudio 1.2.0
 * remove redundant documentation resources so that the package weights less
-* add a dropdown list for variables
+* add a second dropdown list for variable change
 * fix check class warning
 * add `stringsAsFactors=TRUE` where `data.frame` is used
 

R/modelStudio.R

@@ -3,12 +3,15 @@
 #' @description
 #' This function computes various (instance and dataset level) model explanations and produces an interactive,
 #' customisable dashboard. It consists of multiple panels for plots with their short descriptions.
-#' Easily save and share the HTML dashboard with others. Tools for model exploration unite with tools for EDA
-#' (Exploratory Data Analysis) to give a broad overview of the model behavior.
+#' Easily save and share the HTML dashboard with others. Tools for model exploration unite with tools for
+#' Exploratory Data Analysis to give a broad overview of the model behavior.
 #'
 #' Theoretical introduction to the plots:
 #' \href{https://pbiecek.github.io/ema/}{Explanatory Model Analysis: Explore, Explain and Examine Predictive Models}
 #'
+#' Displayed variable can be changed by clicking on the bars of plots or with the first dropdown list,
+#'  and observation can be changed with the second dropdown list.
+#'
 #' @param explainer An \code{explainer} created with \code{DALEX::explain()}.
 #' @param new_observation New observations with columns that correspond to variables used in the model.
 #' @param new_observation_y True label for \code{new_observation} (optional).

inst/d3js/generatePlots.js

@@ -2665,5 +2665,7 @@ function generatePlots(arrPlotId) {
 
 function updateDropDownVar(variableName) {
   /// change dropdown variable on bar click
+  if (variableName == "prediction" || variableName == "intercept" ||
+      variableName == "other") { return; }
   d3.select('#inputVar').property('value', variableName)
 }