diff --git a/parts/designing-surveys/designing-surveys.pdf b/parts/designing-surveys/designing-surveys.pdf index 081edee..26226f0 100644 Binary files a/parts/designing-surveys/designing-surveys.pdf and b/parts/designing-surveys/designing-surveys.pdf differ diff --git a/parts/designing-surveys/figs/unnamed-chunk-24-1.png b/parts/designing-surveys/figs/unnamed-chunk-24-1.png index 5ac7143..4efaf69 100644 Binary files a/parts/designing-surveys/figs/unnamed-chunk-24-1.png and b/parts/designing-surveys/figs/unnamed-chunk-24-1.png differ diff --git a/parts/designing-surveys/figs/unnamed-chunk-26-1.png b/parts/designing-surveys/figs/unnamed-chunk-26-1.png index e3749e6..1f67554 100644 Binary files a/parts/designing-surveys/figs/unnamed-chunk-26-1.png and b/parts/designing-surveys/figs/unnamed-chunk-26-1.png differ diff --git a/parts/designing-surveys/index.Rmd b/parts/designing-surveys/index.Rmd index dac72be..7822ab4 100755 --- a/parts/designing-surveys/index.Rmd +++ b/parts/designing-surveys/index.Rmd @@ -127,6 +127,26 @@ class: center --- +# Many R packages for design of experiment + +- [{cbcTools}](https://github.com/jhelvy/cbcTools) +- [{ExpertChoice}](https://github.com/JedStephens/ExpertChoice) +- [{support.CEs}](https://www.jstatsoft.org/article/view/v050c02) +- [{idefix}](https://www.jstatsoft.org/article/view/v096i03) +- [{choiceDes}](https://cran.r-project.org/web/packages/choiceDes/index.html) + +--- + +# Many R packages for design of experiment + +- [{cbcTools}](https://github.com/jhelvy/cbcTools) .red[<-- Does a lot more than just DOE!] +- [{ExpertChoice}](https://github.com/JedStephens/ExpertChoice) +- [{support.CEs}](https://www.jstatsoft.org/article/view/v050c02) +- [{idefix}](https://www.jstatsoft.org/article/view/v096i03) +- [{choiceDes}](https://cran.r-project.org/web/packages/choiceDes/index.html) + +--- + class: middle, center, inverse ## .center[A systematic workflow for designing a CBC experiment] diff --git a/parts/designing-surveys/index.html b/parts/designing-surveys/index.html index 34f8fc3..d689122 100644 --- a/parts/designing-surveys/index.html +++ b/parts/designing-surveys/index.html @@ -96,6 +96,26 @@ --- +# Many R packages for design of experiment + +- [{cbcTools}](https://github.com/jhelvy/cbcTools) +- [{ExpertChoice}](https://github.com/JedStephens/ExpertChoice) +- [{support.CEs}](https://www.jstatsoft.org/article/view/v050c02) +- [{idefix}](https://www.jstatsoft.org/article/view/v096i03) +- [{choiceDes}](https://cran.r-project.org/web/packages/choiceDes/index.html) + +--- + +# Many R packages for design of experiment + +- [{cbcTools}](https://github.com/jhelvy/cbcTools) .red[<-- Does a lot more than just DOE!] +- [{ExpertChoice}](https://github.com/JedStephens/ExpertChoice) +- [{support.CEs}](https://www.jstatsoft.org/article/view/v050c02) +- [{idefix}](https://www.jstatsoft.org/article/view/v096i03) +- [{choiceDes}](https://cran.r-project.org/web/packages/choiceDes/index.html) + +--- + class: middle, center, inverse ## .center[A systematic workflow for designing a CBC experiment] @@ -284,12 +304,12 @@ ``` #> profileID respID qID altID obsID price type freshness -#> 1 49 1 1 1 1 4.0 Fuji Excellent -#> 2 16 1 1 2 1 1.5 Honeycrisp Poor -#> 3 18 1 1 3 1 2.5 Honeycrisp Poor -#> 4 4 1 2 1 2 2.5 Fuji Poor -#> 5 55 1 2 2 2 3.5 Gala Excellent -#> 6 2 1 2 3 2 1.5 Fuji Poor +#> 1 55 1 1 1 1 3.5 Gala Excellent +#> 2 15 1 1 2 1 1.0 Honeycrisp Poor +#> 3 16 1 1 3 1 1.5 Honeycrisp Poor +#> 4 6 1 2 1 2 3.5 Fuji Poor +#> 5 35 1 2 2 2 4.0 Gala Average +#> 6 57 1 2 3 2 1.0 Honeycrisp Excellent ``` --- @@ -316,12 +336,12 @@ ``` #> profileID respID qID altID obsID price type_Fuji type_Gala type_Honeycrisp freshness_Poor freshness_Average freshness_Excellent no_choice -#> 1 15 1 1 1 1 1.0 0 0 1 1 0 0 0 -#> 2 27 1 1 2 1 3.5 1 0 0 0 1 0 0 -#> 3 10 1 1 3 1 2.0 0 1 0 1 0 0 0 +#> 1 33 1 1 1 1 3.0 0 1 0 0 1 0 0 +#> 2 62 1 1 2 1 3.5 0 0 1 0 0 1 0 +#> 3 48 1 1 3 1 3.5 1 0 0 0 0 1 0 #> 4 0 1 1 4 1 0.0 0 0 0 0 0 0 1 #> 5 15 1 2 1 2 1.0 0 0 1 1 0 0 0 -#> 6 36 1 2 2 2 1.0 0 0 1 0 1 0 0 +#> 6 23 1 2 2 2 1.5 1 0 0 0 1 0 0 ``` --- @@ -350,12 +370,12 @@ ``` #> profileID respID qID altID obsID price type freshness -#> 1 44 1 1 1 1 1.5 Fuji Excellent -#> 2 33 1 1 2 1 3.0 Gala Average -#> 3 37 1 1 3 1 1.5 Honeycrisp Average -#> 4 26 1 2 1 2 3.0 Fuji Average -#> 5 31 1 2 2 2 2.0 Gala Average -#> 6 59 1 2 3 2 2.0 Honeycrisp Excellent +#> 1 26 1 1 1 1 3 Fuji Average +#> 2 31 1 1 2 1 2 Gala Average +#> 3 19 1 1 3 1 3 Honeycrisp Poor +#> 4 1 1 2 1 2 1 Fuji Poor +#> 5 8 1 2 2 2 1 Gala Poor +#> 6 57 1 2 3 2 1 Honeycrisp Excellent ``` --- @@ -401,12 +421,12 @@ ``` #> respID qID altID obsID price type freshness -#> 1 1 1 1 1 1.5 Fuji Excellent -#> 2 1 1 2 1 3.0 Gala Average -#> 3 1 1 3 1 1.5 Honeycrisp Average -#> 4 1 2 1 2 3.0 Fuji Average -#> 5 1 2 2 2 2.0 Gala Average -#> 6 1 2 3 2 2.0 Honeycrisp Excellent +#> 1 1 1 1 1 3 Fuji Average +#> 2 1 1 2 1 2 Gala Average +#> 3 1 1 3 1 3 Honeycrisp Poor +#> 4 1 2 1 2 1 Fuji Poor +#> 5 1 2 2 2 1 Gala Poor +#> 6 1 2 3 2 1 Honeycrisp Excellent ``` --- @@ -529,12 +549,12 @@ ``` #> profileID respID qID altID obsID price type freshness choice -#> 1 44 1 1 1 1 1.5 Fuji Excellent 0 -#> 2 33 1 1 2 1 3.0 Gala Average 0 -#> 3 37 1 1 3 1 1.5 Honeycrisp Average 1 -#> 4 26 1 2 1 2 3.0 Fuji Average 0 -#> 5 31 1 2 2 2 2.0 Gala Average 1 -#> 6 59 1 2 3 2 2.0 Honeycrisp Excellent 0 +#> 1 26 1 1 1 1 3 Fuji Average 0 +#> 2 31 1 1 2 1 2 Gala Average 1 +#> 3 19 1 1 3 1 3 Honeycrisp Poor 0 +#> 4 1 1 2 1 2 1 Fuji Poor 0 +#> 5 8 1 2 2 2 1 Gala Poor 0 +#> 6 57 1 2 3 2 1 Honeycrisp Excellent 1 ``` --- @@ -685,13 +705,13 @@ ``` ``` -#> sampleSize coef est se -#> 1 30 price -0.323720273 0.09703566 -#> 2 30 typeGala -0.006998948 0.19692109 -#> 3 30 typeHoneycrisp 0.310095155 0.18477278 -#> 4 30 freshnessAverage 0.176627903 0.23789479 -#> 5 30 freshnessExcellent -0.189772841 0.24507782 -#> 6 60 price -0.210818382 0.06596601 +#> sampleSize coef est se +#> 1 30 price -0.0395841 0.09664295 +#> 2 30 typeGala 0.3198033 0.18958184 +#> 3 30 typeHoneycrisp 0.1728158 0.19532138 +#> 4 30 freshnessAverage 0.6564963 0.22311590 +#> 5 30 freshnessExcellent -0.1699275 0.24271214 +#> 6 60 price -0.1187266 0.06587854 ``` ] @@ -704,13 +724,13 @@ ``` ``` -#> sampleSize coef est se -#> 45 270 freshnessExcellent -0.21393084 0.07636678 -#> 46 300 price -0.11318500 0.02926127 -#> 47 300 typeGala 0.13458492 0.05885936 -#> 48 300 typeHoneycrisp 0.15370569 0.05876901 -#> 49 300 freshnessAverage 0.08786836 0.07127721 -#> 50 300 freshnessExcellent -0.17724236 0.07268666 +#> sampleSize coef est se +#> 45 270 freshnessExcellent -0.1221717 0.07561697 +#> 46 300 price -0.1388063 0.02949868 +#> 47 300 typeGala 0.1638605 0.06015893 +#> 48 300 typeHoneycrisp 0.2682089 0.05873098 +#> 49 300 freshnessAverage 0.1894352 0.06988738 +#> 50 300 freshnessExcellent -0.1025510 0.07192388 ``` ]