radiant.multivariate 1.6.7

• Fixed labeling bug in mds function

radiant.multivariate 1.6.6

• Require Shiny 1.8.1. Adjustments related to icon-buttons were made to address a breaking change in Shiny 1.8.1
• Reverting changes that removed req(input$dataset) in different places

radiant.multivariate 1.6.1

• Updated test for MDS to account for the possibility that signs can be switched.

radiant.multivariate 1.6.0

• Using “Radiant for R” in UI to differentiate from “Radiant for Python”
• Addressed a package documentation issue due to a change in roxygen2

radiant.multivariate 1.5.0.0

• Improvements to screenshot feature. Navigation bar is omitted and the image is adjusted to the length of the UI.
• Line graphs treated more similarly to bar-graphs (i.e., can have a binary factor variable on the y-axis)
• Removed all references to aes_string which is being deprecated in ggplot soon
• Replaced reference to ‘size’ in favor of ‘linewidth’ due to changes in ggplot2
• Code styling

radiant.multivariate 1.4.4.0

• Added option to create screenshots of settings on a page. Approach is inspired by the snapper package by @yonicd

radiant.multivariate 1.4.1.0

• Fixed is_empty function clash with rlang
• Adjustments to work with the latest version of shiny and bootstrap4

radiant.multivariate 1.3.6.0

• Allowing singular correlation matrix in pre_factor

radiant.multivariate 1.3.5.0

• Minor adjustments in anticipation of dplyr 1.0.0

radiant.multivariate 1.3.2.0

• Allow factor variables in K-clustering using clustMixType::kproto

radiant.multivariate 1.3.0.0

• Allow factor variables in pre-factor, factor, and attribute based maps. Correlations will be calculated polycor::hetcor and factor scores are calculated using psych::score.irt.poly.
• Add option to save cluster membership for hierarchical clustering
• Add gower distance as a distance metric for hierarchical clustering
• Use patchwork for grouping multiple plots together
• Update action buttons that initiate model estimation when one or more inputs are changed. When a model should be re-estimated, a spinning “refresh” icon will be shown

radiant.multivariate 1.1.1.0

• Documentation updates (i.e., key functions for each tool)
• Numerous small code changes to support enhanced auto-completion, tooltips, and annotations in shinyAce 0.4.1

radiant.multivariate 0.9.9.2

• Label numbers for stored factor scores from factor analysis will now always correspond to the numbers used in the summary output
• Fix for kmeans bar-plot after dplyr 0.8.1 release
• Add information on R-squared when storing PW and IW tables for conjoint analysis with individual level data
• Added option to (not) standardize data for K-clustering or Hierarchical clustering.

radiant.multivariate 0.9.9.0

• Create bi-plots in Multivariate > Factor
• Fixes to accommodate breaking changes in dplyr 0.8.0

radiant.multivariate 0.9.8.0

• Ensure variable and dataset names are valid for R (i.e., no spaces or symbols), “fixing” the input as needed
• Fix initial plot size for kclus in the browser interface
• Fix labels in pre_factor after a ggplot2 update
• Avoid a warning in the pre_factor Plot tab on refresh
• Option to pass additional arguments to shiny::runApp when starting radiant such as the port to use. For example, radiant.multivariate::radiant.multivariate(“https://github.com/radiant-rstats/docs/raw/gh-pages/examples/demo-dvd-rnd.state.rda”, port = 8080)
• Avoid generatign pred_data = "" for conjoint predictions
• Load a state file on startup by providing a (relative) file path or a url

radiant.multivariate 0.9.7.0

Major changes

• Using shinyFiles to provide convenient access to data located on a server

Minor changes

• Option to add selected labels to the dendogram in hierarchical clustering
• Replace non-ASCII characters in example datasets
• Remove rstudioapi as a direct import
• Revert from svg to png for plots in _Report > Rmd_ and _Report > R_.svg` scatter plots with many point get to big for practical use on servers that have to transfer images to a local browser
• Removed dependency on methods package

radiant.multivariate 0.9.5.0

• Fix to accomodate changes in deparse in R 3.5

radiant.multivariate 0.9.3.1

Major changes

• Various changes to the code to accomodate the use of shiny::makeReactiveBinding. The advantage is that the code generated for Report > Rmd and Report > R will no longer have to use r_data to store and access data. This means that code generated and used in the Radiant browser interface will be directly usable without the browser interface as well.
• Used ggplot2 and ggrepel for mds brand maps
• Used ggplot2 and ggrepel for prmap brand maps

Deprecated

• pmap was renamed to prmap to avoid conflict with purrr::pmap

radiant.multivariate 0.9.2.0

Major changes

• Renamed pmap function for perceptual maps to prmap to avoid conflict with purrr::pmap
• Estimate buttons indicate when models should be re-estimated based on changes in user input
• Upload and download data using the Rstudio file browser. Allows using relative paths to files (e.g., data or images inside an Rstudio project)
• Long lines of code generated for Report > Rmd or Report > R will be wrapped to enhance readability

Minor changes

• Enhanced keyboard shortcuts
• Upgraded tidyr dependency to 0.7

Bug fixes

• Fix for pmap and mds when a tibble is passed

radiant.multivariate 0.8.7.1

• Upgraded dplyr dependency to 0.7.1

radiant.multivariate 0.8.2.0

Minor changes

• Updated output formatting code to make coefficient information more easily accessible
• Add KMO measures for individual variables to Factor > Pre-factor
• Code cleanup

Bug fixes

• Pass plot sizing function to plot_downloader to ensure proper display

radiant.multivariate VERSION 0.8.0

Major changes

• Added k-medians, from the Gmedians package, as an option in Multivariate > K-clustering
• Added additional rotation options in Multivariate > Factor
• Added predict tab for conjoint
• Added option to analyse conjoint data for multiple respondents (By) or for a specific respondent (Show)
• Store PWs or IWs from conjoint analysis for multiple respondents
• Derive and store predictions based on conjoint analysis for multiple respondents

Minor changes

• Show dataset name in output if dataframe passed directly to analysis function
• As an alternative to using the Estimate button to run a model you can now also use CTRL-enter or CMD-enter
• Use ALT-enter to put code into Report > Rmd or Report > R

Bug fixes

• Import from GPArotation

Deprecated

• kmeans_clus was replaced by kclus
• hier_clus was replaced by hclus
• Use of *_each is deprecated