# 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`](https://github.com/thomasp85/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