From 93818bd44a237266db94176e513085949b891d9f Mon Sep 17 00:00:00 2001 From: Bjoern Koneswarakantha Date: Thu, 7 Dec 2023 12:03:53 +0100 Subject: [PATCH] prep release 0.3.2 --- DESCRIPTION | 2 +- NEWS.md | 4 + R/alluvial_model_response.R | 4 +- R/alluvial_wide.R | 2 +- README.Rmd | 1 - README.md | 100 +++++++++-------- appveyor.yml | 45 -------- cran-comments.md | 17 ++- man/figures/README-plot_long-1.png | Bin 227960 -> 228964 bytes man/figures/README-unnamed-chunk-3-1.png | Bin 173881 -> 176319 bytes man/figures/README-unnamed-chunk-5-1.png | Bin 886841 -> 918162 bytes man/figures/README-wide_plot-1.png | Bin 180197 -> 183146 bytes man/get_data_space.Rd | 4 +- .../testthat/_snaps/plot_imp/plot-imp.new.svg | 106 ------------------ tests/testthat/_snaps/plot_imp/plot-imp.svg | 106 ------------------ .../mod-cat-pred-train.new.svg | 102 ----------------- .../mod-cat-pred-train.svg | 102 ----------------- .../mod-cat-pred.new.svg | 76 ------------- .../plot_marginal_histograms/mod-cat-pred.svg | 76 ------------- 19 files changed, 77 insertions(+), 670 deletions(-) delete mode 100644 appveyor.yml delete mode 100644 tests/testthat/_snaps/plot_imp/plot-imp.new.svg delete mode 100644 tests/testthat/_snaps/plot_imp/plot-imp.svg delete mode 100644 tests/testthat/_snaps/plot_marginal_histograms/mod-cat-pred-train.new.svg delete mode 100644 tests/testthat/_snaps/plot_marginal_histograms/mod-cat-pred-train.svg delete mode 100644 tests/testthat/_snaps/plot_marginal_histograms/mod-cat-pred.new.svg delete mode 100644 tests/testthat/_snaps/plot_marginal_histograms/mod-cat-pred.svg diff --git a/DESCRIPTION b/DESCRIPTION index 064ec65..2dd6cc8 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: easyalluvial Title: Generate Alluvial Plots with a Single Line of Code -Version: 0.3.1.900 +Version: 0.3.2 Authors@R: person( "Bjoern", "Koneswarakantha", role = c("aut","cre"), email = "datistics@gmail.com", comment = c(ORCID = "0000-0003-4585-7799") ) URL: https://github.com/erblast/easyalluvial/ Description: Alluvial plots are similar to sankey diagrams and visualise categorical data diff --git a/NEWS.md b/NEWS.md index 74c2b8a..b801fe7 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,7 @@ +# Version 0.3.2 submitted to CRAN 20231207 +- check for vip pkg installation before executing example of alluvial_model_response_parsnip +- option for using geom_text instead of geom_label (by https://github.com/gernophil) + # Version 0.3.1 submitted to CRAN 20220704 - cleanup package dependencies diff --git a/R/alluvial_model_response.R b/R/alluvial_model_response.R index d9f24be..d75396b 100644 --- a/R/alluvial_model_response.R +++ b/R/alluvial_model_response.R @@ -236,8 +236,8 @@ tidy_imp = function(imp, df, .f = max, resp_var = NULL){ #' \code{\link[easyalluvial]{manip_bin_numerics}}, while leaving categoric #' variables unchanged. The number of bins for each numeric variable is set to #' bins -2. Next the median is picked for each of the bins and the min and the -#' max value is added for each numeric variable So that we get { median(bin) X -#' bins -2, max, min} for each numeric variable. Then all possible combinations +#' max value is added for each numeric variable So that we get (median(bin) X +#' bins -2, max, min) for each numeric variable. Then all possible combinations #' between those values and the categoric factor levels are created. The total #' number of all possible combinations defines the range of the data space. The #' values of the remaining variables are set to mode(factors) or diff --git a/R/alluvial_wide.R b/R/alluvial_wide.R index d2b0c08..6c60131 100644 --- a/R/alluvial_wide.R +++ b/R/alluvial_wide.R @@ -395,7 +395,7 @@ alluvial_wide = function( data data_key = data_new %>% mutate( alluvial_id = manip_factor_2_numeric(alluvial_id) ) %>% - left_join( data_alluvial ) %>% + left_join( data_alluvial, relationship = "many-to-many" ) %>% select( - fill_flow, -fill_value, -fill ) %>% spread( key = x, value = value ) %>% select( one_of(id_str, variables, 'alluvial_id', 'n' ) ) %>% diff --git a/README.Rmd b/README.Rmd index 886bfe9..3b44fd4 100644 --- a/README.Rmd +++ b/README.Rmd @@ -17,7 +17,6 @@ knitr::opts_chunk$set( # easyalluvial -[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/erblast/easyalluvial?branch=master&svg=true)](https://ci.appveyor.com/project/erblast/easyalluvial) [![R build status](https://github.com/erblast/easyalluvial/workflows/R-CMD-check/badge.svg)](https://github.com/erblast/easyalluvial/actions) [![Coverage Status](https://img.shields.io/codecov/c/github/erblast/easyalluvial/master.svg)](https://codecov.io/github/erblast/easyalluvial?branch=master) [![CRAN last release](https://www.r-pkg.org/badges/last-release/easyalluvial)](https://CRAN.R-project.org/package=easyalluvial) diff --git a/README.md b/README.md index 7630333..c360919 100644 --- a/README.md +++ b/README.md @@ -3,8 +3,6 @@ # easyalluvial -[![AppVeyor Build -Status](https://ci.appveyor.com/api/projects/status/github/erblast/easyalluvial?branch=master&svg=true)](https://ci.appveyor.com/project/erblast/easyalluvial) [![R build status](https://github.com/erblast/easyalluvial/workflows/R-CMD-check/badge.svg)](https://github.com/erblast/easyalluvial/actions) [![Coverage @@ -37,17 +35,17 @@ for data exploration. ## Features -- plot alluvial graph with a single line of code of a given dataframe -- support for wide and long data format [(wiki, wide vs. long/narrow - data)](https://en.wikipedia.org/wiki/Wide_and_narrow_data) -- automatically transforms numerical to categorical data -- helper functions for variable selection -- convenient parameters for coloring and ordering -- marginal histograms -- **model agnostic partial dependence and model response alluvial - plots with 4 dimensions** -- **[interactive plots with `easyalluvial` and - `parcats`](https://erblast.github.io/parcats/articles/parcats.html)** +- plot alluvial graph with a single line of code of a given dataframe +- support for wide and long data format [(wiki, wide vs. long/narrow + data)](https://en.wikipedia.org/wiki/Wide_and_narrow_data) +- automatically transforms numerical to categorical data +- helper functions for variable selection +- convenient parameters for coloring and ordering +- marginal histograms +- **model agnostic partial dependence and model response alluvial plots + with 4 dimensions** +- **[interactive plots with `easyalluvial` and + `parcats`](https://erblast.github.io/parcats/articles/parcats.html)** ## Installation @@ -60,19 +58,20 @@ install.packages('easyalluvial') ### Development Version ``` r + # install.packages("devtools") devtools::install_github("erblast/easyalluvial") ``` ## Documentation -- [pkgdown website](https://erblast.github.io/easyalluvial/) - - [Data Exploration with Alluvial - Plots](https://erblast.github.io/easyalluvial/articles/data_exploration.html) - - [Visualising Model - Response](https://erblast.github.io/easyalluvial/articles/model_response.html) - - [Interactive Plots with - parcats](https://erblast.github.io/easyalluvial/articles/parcats.html) +- [pkgdown website](https://erblast.github.io/easyalluvial/) + - [Data Exploration with Alluvial + Plots](https://erblast.github.io/easyalluvial/articles/data_exploration.html) + - [Visualising Model + Response](https://erblast.github.io/easyalluvial/articles/model_response.html) + - [Interactive Plots with + parcats](https://erblast.github.io/easyalluvial/articles/parcats.html) ## Examples @@ -86,6 +85,7 @@ suppressPackageStartupMessages( require(easyalluvial) ) #### Sample Data ``` r + knitr::kable( head(mtcars2) ) ``` @@ -102,13 +102,14 @@ knitr::kable( head(mtcars2) ) Continuous Variables will be automatically binned as follows. -- High, High (HH) -- Medium, High (MH) -- Medium (M) -- Medium, Low (ML) -- Low, Low (LL) +- High, High (HH) +- Medium, High (MH) +- Medium (M) +- Medium, Low (ML) +- Low, Low (LL) ``` r + alluvial_wide( data = mtcars2 , max_variables = 5 , fill_by = 'first_variable' ) @@ -124,18 +125,19 @@ alluvial_wide( data = mtcars2 knitr::kable( head(quarterly_flights) ) ``` -| tailnum | carrier | origin | dest | qu | mean\_arr\_delay | -|:------------------|:--------|:-------|:-----|:----|:-----------------| -| N0EGMQ LGA BNA MQ | MQ | LGA | BNA | Q1 | on\_time | -| N0EGMQ LGA BNA MQ | MQ | LGA | BNA | Q2 | on\_time | -| N0EGMQ LGA BNA MQ | MQ | LGA | BNA | Q3 | on\_time | -| N0EGMQ LGA BNA MQ | MQ | LGA | BNA | Q4 | on\_time | -| N11150 EWR MCI EV | EV | EWR | MCI | Q1 | late | -| N11150 EWR MCI EV | EV | EWR | MCI | Q2 | late | +| tailnum | carrier | origin | dest | qu | mean_arr_delay | +|:------------------|:--------|:-------|:-----|:----|:---------------| +| N0EGMQ LGA BNA MQ | MQ | LGA | BNA | Q1 | on_time | +| N0EGMQ LGA BNA MQ | MQ | LGA | BNA | Q2 | on_time | +| N0EGMQ LGA BNA MQ | MQ | LGA | BNA | Q3 | on_time | +| N0EGMQ LGA BNA MQ | MQ | LGA | BNA | Q4 | on_time | +| N11150 EWR MCI EV | EV | EWR | MCI | Q1 | late | +| N11150 EWR MCI EV | EV | EWR | MCI | Q2 | late | #### Plot ``` r + alluvial_long( quarterly_flights , key = qu , value = mean_arr_delay @@ -159,6 +161,7 @@ alluvial_wide( data = mtcars2 ### Interactive Graphs ``` r + suppressPackageStartupMessages( require(parcats) ) p = alluvial_wide(mtcars2, max_variables = 5) @@ -166,10 +169,15 @@ p = alluvial_wide(mtcars2, max_variables = 5) parcats(p, marginal_histograms = TRUE, data_input = mtcars2) ``` -![demo](https://raw.githubusercontent.com/erblast/parcats/master/man/figures/demo1.gif) +
+ + +
-- **[Live - Widget](https://erblast.github.io/parcats/articles/parcats.html)** +- **[Live + Widget](https://erblast.github.io/parcats/articles/parcats.html)** ### Partial Dependence Alluvial Plots @@ -190,14 +198,15 @@ in the end. Each of the possible combinations is plotted as a flow which is coloured by the bin corresponding to the average model response generated by that particular combination. -- [more on partial dependence plots - (ebook)](https://christophm.github.io/interpretable-ml-book/) -- [Tutorial](https://www.datisticsblog.com/2019/04/visualising-model-response-with-easyalluvial/) +- [more on partial dependence plots + (ebook)](https://christophm.github.io/interpretable-ml-book/) +- [Tutorial](https://www.datisticsblog.com/2019/04/visualising-model-response-with-easyalluvial/) `easyalluvial` contains wrappers for `parsnip` and `caret` models. Custom Wrappers for other models can easily be created. ``` r + df = select(mtcars2, -ids) m = parsnip::rand_forest(mode = "regression") %>% @@ -216,11 +225,12 @@ p_grid = add_marginal_histograms(p, df, plot = F) %>% ### Interactive Partial Dependence Plot ``` r + parcats(p, marginal_histograms = TRUE, imp = TRUE, data_input = df) ``` -![demo](https://raw.githubusercontent.com/erblast/parcats/master/man/figures/demo2.gif) -- **[Live +![demo](https://raw.githubusercontent.com/erblast/parcats/master/man/figures/demo2.gif) - +**[Live Widget](https://erblast.github.io/parcats/articles/parcats.html)** # ClinicoPath {jamovi} Module @@ -232,7 +242,7 @@ interface for doing statistics with `R`. # Similar Packages -- [`ggalluvial`](https://github.com/corybrunson/ggalluvial/) -- [`alluvial`](https://github.com/mbojan/alluvial) -- [`networkD3`](https://github.com/christophergandrud/networkD3) -- [`ggbump`](https://github.com/davidsjoberg/ggbump) +- [`ggalluvial`](https://github.com/corybrunson/ggalluvial/) +- [`alluvial`](https://github.com/mbojan/alluvial) +- [`networkD3`](https://github.com/christophergandrud/networkD3) +- [`ggbump`](https://github.com/davidsjoberg/ggbump) diff --git a/appveyor.yml b/appveyor.yml deleted file mode 100644 index c6c1438..0000000 --- a/appveyor.yml +++ /dev/null @@ -1,45 +0,0 @@ -# DO NOT CHANGE the "init" and "install" sections below - -# Download script file from GitHub -init: - ps: | - $ErrorActionPreference = "Stop" - Invoke-WebRequest http://raw.github.com/krlmlr/r-appveyor/master/scripts/appveyor-tool.ps1 -OutFile "..\appveyor-tool.ps1" - Import-Module '..\appveyor-tool.ps1' - -install: - ps: Bootstrap - -cache: - - C:\RLibrary - -# Adapt as necessary starting from here - -build_script: - - travis-tool.sh install_deps - -test_script: - - travis-tool.sh run_tests - -on_failure: - - 7z a failure.zip *.Rcheck\* - - appveyor PushArtifact failure.zip - -artifacts: - - path: '*.Rcheck\**\*.log' - name: Logs - - - path: '*.Rcheck\**\*.out' - name: Logs - - - path: '*.Rcheck\**\*.fail' - name: Logs - - - path: '*.Rcheck\**\*.Rout' - name: Logs - - - path: '\*_*.tar.gz' - name: Bits - - - path: '\*_*.zip' - name: Bits diff --git a/cran-comments.md b/cran-comments.md index 17d0f5b..c13916a 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -1,12 +1,19 @@ # Resubmission after being archived on CRAN -clean up package dependencies +All suggested dependencies were already controlled for, meaning there was a +check in place that would raise an error with a message to install the missing +package. Those are limited to functions most users will not use. + +All unit tests would skip if suggested packages were missing. + +One example missed a check for a suggested package installation which was added: + +- check for vip pkg installation before executing example of alluvial_model_response_parsnip ## Test Environments -* local macOS M1 R 4.2.1 -* Appveyor x86_64-w64-mingw32/x64 (64-bit) R 4.2.1 -* github actions macos-latest R 4.2.1 -* WinBuilder R 4.2.1 +* local macOS M1 R 4.3.2 +* github actions macos-latest R 4.3.2 +* WinBuilder R 4.3.2 * WinBuilder R devel coverage -> 96 % diff --git a/man/figures/README-plot_long-1.png b/man/figures/README-plot_long-1.png index 5983a5157a914f86e42a19c02e0f4749ea5f78f6..c343c89172c1b3292ce21d06a938efde3894f7cb 100644 GIT binary patch literal 228964 zcmdSAWmFv9)-{T|y9Rf6cXw?p1cKAJyK92GyIXK~cY;H3cXx-6bH0=3yzd?N-~Dxe z^r#xUYIN6Ld-q&(%{A+%vZ53s93C792neE#w74n=2v`mX26&cMh-%EZRR0cfNuB?o zP;aF=9khJ-Zc=BxN*`}kFA_6yx|Ru~WZQWy0MZCzh@kY8Y{qYXeC?qku_!+aXUMBp z&VvY~ew=!i%ALW6J!xU9Ym0BT>=;{p+RwP~Iaqf*Ux$xrrvI9>P60-bSIMw9yInW5 z-`~&c)Z;yc=sm?i7nMkxNC}F+)7!Otc0oM2zIfmC@L_gRsVoKhV=eek1@|cFwh72P z=0NQ?KM0YRVc12(N7#Nos|@08w7v!qO`I&`%i77*Sk@o<67jqFhOj>}jS7adH+S-F1;I0JwjR2nQ1cy$gWn9zUbj5S2W+)qhZq7aYql4$- zuMI5v8F0=%su>9T$X`GX4_G6|*jtKVzxu0S(e@7RO zAw~vzef^$a42O4Uo_knmp8GhzdAiX{^YjkVq;By(d~!I=EL!wIb~#nndtnYBYe(>L zH!pXdf;F`xn`4n-l8Fm^Bp{97WyU4RCyt{UQ8SJ(p5~QB;uuOIbu_+dnVxe8B~#7j z3U3cTbQKwVH#1Jzte+f^&E`V+Gx=xIax`(#MvvFqMl-xkQX{)+9~rh)|s6$U__vrSH!AuHe>h$83je`whS0Z<~w``VRW`M2^`~ z7IW?w?3U+M`89C+z+{!xY*C#*4E)r_!2-Q~y~c7%hnOKjum(&XE?nj4k=WnbpoXe# zjmy0&{IE+MPi-pd7Pf@cC6l12yoz=%*uWKSc7n)cgm6iNt=l|;&hCm_eB=a{tNaHY zudMhX4ZZZe*ab0!dhG&nH^MtrPOs)1j%vq{wj+R<^$lsqVSOXJJBDyoth87Nd)+zI zC#{EV1k*)G4aw$vAl06%+`YCk?{C;E?u90f*-+fCRD2IQjXcPk72s1Z=3|_GW;-1h zAQgf|ZuhEgRQ-keDap<%rZ{7qc_JFfc% zni3dLv_wnBuA%QYrbtMFP(-Ck)}qQ+t?%@TfgW!cH>0Y?Um0sDA}Iuh7Twm}$J{4d zCe8P=idUly0ZK>$Mt+@=2Oval;S|w8>Drgs^v4Sr?$8aYj+R+lsUA z$SJGYai$znLKyvLe?jR;k!ZI$dtOcsNR5^}8C}3=udr~{Vt#cs%CP{`#Y=Ea(N3N6 z2_6EJ$+sa;ZQ@D2D(qNk@dao9ii1b?Rhy>9A`9z61!PeB9wlTZp0EEiRwA2Vs3>3_ z{ve}!f8+XpqdY4n40CvU8CM7SzoN^C@)=xgm>gZk|FIH&#LNPp;Z^+q>6hv#B^)(quD$)W#ucYW?3EgYC}8c^^3RI|%qCNEII zY+JAnTc4Zs=9lxf8qWtCuT5|wVKcL07x@mKjhFS%e5vT|y6iXlFJ6~DKP`>L{?`J0 ze<%H(QJza@x$ph323@ttXFqm-@529bTK70%>jU1Q7p?!gjs19}WJKV zomln#?fI_x?SAE|2iXUuY2AZv-1MgZE*!XXAoRiW{POaNw@`tgsq&`Fi$!&~1@utt z?H(ufRf+Jw5&g50?@8DQ0+yKHgd`d&m#nZ_bkA39TwW^>s$_5+O1gk_x2Iyu<787^ zCn#tgWYswGv*)i~iyY}=q(x(S?}H4?DaF1UKx8LWJ?8o@$k;|ft;pG-hu1}pP%XyD zJ+p5F`;eD&30vo1g?>P}j?|yG zC@W^YH?6ym>oSb{z7F|r?ht)&cRtToDc(*kFNZmwEC6@a&Q|Mz=wIA-Q43~)POh$& zLv!!7wXA>6TyAe~b8>S<&SrER9qaBPEA+TC6;tGAKa_D!jc{1c)Rp?QEWPKNHTJ@ighzv-tLZv36@( zBr`WROlY6~NTB8c&ElIe*mGl32V%{iKcTO8i~7+-uba?Rw_P!M@`Hwz2Mw+5iZF-t z{_6!RTyg^09V>+tiPb#8B^iXJN7*$>zBsdWa!MaxirexUOEA{swr2^G-mv|;1&!p^ z7aDrie#~4S!{c=5@?wJVeQ`&-=Ol8u_`@;3rM>nrnf(eq(S5%UzG!fFJYVNg<>mAx zQgYI5MVl(e+S=Ofc3SG{?ZWpX!9U{^Pa{bweIg|Op&WjmrF`B)lt}1#I+~I`2NDtz z&s|_E2=dl&dH)SJqs;^TC!`Y;Xyz)QQwwegC449ree8aBKBeZ&>%C)e2R7p@(07os zb(nY5q}Dy%o-{VWITP~M6PaM3%IAGd`|#=XTT)Vz=v7K_wvP^3o>`ZnPiAg&#lIm9-rtRP7V3GMyWOP0=1Q)D+-E{X=@h4dL%tu~{o zX}_uKh0C_;wK~y+g;NN663p>X<#fH@RSjMI68QI#p=mX*Wd%U_;-+SNo80wE0p{Ng zJEO2Ow5R<)9@0Nma`Qz0qjgXy0WbP`S#e(QX+&xJYKTb6*0u^u_VL`c3*Ta+sq^j^ zx}v5*XqC@hIjY(C+wV+1CGN&Q`s1ze@46rw*D~=V2fLP(Cn1XKOe_C0H;uD{l~G59 zH361))i}B~s)Au?XG+nE6Av`3eP32K7RtC3JNGZ%&oAl&ct>;g9a<=fbZ%E1Z9u=> z{+JX4VO=4T;?&2*yg{itLRgZ9os!R*0XVf~OXvuK7S-t$#x}6_PaH}9 z-WUFDA+<2L=(S6*Ie&G8qrM8tyKvw3UgJIBdzigRXkyRF#@1fzbM_VkhTnaNhG*_B3oE48! 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