From 278244140c1979ae8210a04806d041313db29b10 Mon Sep 17 00:00:00 2001 From: "Matthijs S. Berends" Date: Sat, 22 Jun 2019 21:33:13 +0200 Subject: [PATCH] (v0.7.0.9015) vignette fix --- DESCRIPTION | 2 +- NEWS.md | 2 +- docs/LICENSE-text.html | 2 +- docs/articles/index.html | 2 +- docs/articles/resistance_predict.html | 15 ++++----------- .../figure-html/unnamed-chunk-5-1.png | Bin 32827 -> 33169 bytes .../figure-html/unnamed-chunk-5-2.png | Bin 33339 -> 33292 bytes .../figure-html/unnamed-chunk-6-1.png | Bin 34275 -> 34326 bytes .../figure-html/unnamed-chunk-7-1.png | Bin 31937 -> 31924 bytes docs/authors.html | 2 +- docs/index.html | 2 +- docs/news/index.html | 8 ++++---- docs/reference/index.html | 2 +- git_premaster.sh | 15 ++++++++++++--- vignettes/resistance_predict.Rmd | 4 ++-- 15 files changed, 29 insertions(+), 27 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 01964ae1..bf92bb60 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,5 +1,5 @@ Package: AMR -Version: 0.7.0.9014 +Version: 0.7.0.9015 Date: 2019-06-22 Title: Antimicrobial Resistance Analysis Authors@R: c( diff --git a/NEWS.md b/NEWS.md index 3f738549..d0bcf818 100755 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,4 @@ -# AMR 0.7.0.9014 +# AMR 0.7.0.9015 #### New * Function `rsi_df()` to transform a `data.frame` to a data set containing only the microbial interpretation (S, I, R), the antibiotic, the percentage of S/I/R and the number of available isolates. This is a convenient combination of the existing functions `count_df()` and `portion_df()` to immediately show resistance percentages and number of available isolates: diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html index 8f815081..7dd4b058 100644 --- a/docs/LICENSE-text.html +++ b/docs/LICENSE-text.html @@ -78,7 +78,7 @@ AMR (for R) - 0.7.0.9014 + 0.7.0.9015 diff --git a/docs/articles/index.html b/docs/articles/index.html index 99849c6e..211a4273 100644 --- a/docs/articles/index.html +++ b/docs/articles/index.html @@ -78,7 +78,7 @@ AMR (for R) - 0.7.0.9014 + 0.7.0.9015 diff --git a/docs/articles/resistance_predict.html b/docs/articles/resistance_predict.html index 078e9755..5a551c92 100644 --- a/docs/articles/resistance_predict.html +++ b/docs/articles/resistance_predict.html @@ -40,7 +40,7 @@ AMR (for R) - 0.7.0.9000 + 0.7.0.9015 @@ -125,13 +125,6 @@ Create frequency tables -
  • - - - - Use the G-test - -
  • @@ -199,7 +192,7 @@

    How to predict antimicrobial resistance

    Matthijs S. Berends

    -

    07 June 2019

    +

    22 June 2019

    @@ -309,7 +302,7 @@
    Choosing the right model

    Resistance is not easily predicted; if we look at vancomycin resistance in Gram positives, the spread (i.e. standard error) is enormous:

    septic_patients %>%
    -  filter(mo_gramstain(mo) == "Gram positive") %>%
    +  filter(mo_gramstain(mo, language = NULL) == "Gram-positive") %>%
       resistance_predict(col_ab = "VAN", year_min = 2010, info = FALSE) %>% 
       ggplot_rsi_predict()
     # NOTE: Using column `date` as input for `col_date`.
    @@ -354,7 +347,7 @@

    For the vancomycin resistance in Gram positive bacteria, a linear model might be more appropriate since no (left half of a) binomial distribution is to be expected based on the observed years:

    septic_patients %>%
    -  filter(mo_gramstain(mo) == "Gram positive") %>%
    +  filter(mo_gramstain(mo, language = NULL) == "Gram-positive") %>%
       resistance_predict(col_ab = "VAN", year_min = 2010, info = FALSE, model = "linear") %>% 
       ggplot_rsi_predict()
     # NOTE: Using column `date` as input for `col_date`.
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a/docs/news/index.html b/docs/news/index.html index 40290eaa..0e621a19 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -78,7 +78,7 @@ AMR (for R) - 0.7.0.9014 + 0.7.0.9015 @@ -232,9 +232,9 @@ -

    +

    -AMR 0.7.0.9014 Unreleased +AMR 0.7.0.9015 Unreleased

    @@ -1141,7 +1141,7 @@ Using as.mo(..., allow_uncertain = 3)

    Contents

    diff --git a/git_premaster.sh b/git_premaster.sh index 3e98f8ef..66a38be5 100755 --- a/git_premaster.sh +++ b/git_premaster.sh @@ -81,7 +81,16 @@ git commit -a -m "(v$new_version) $1" --quiet git push --quiet echo "Comparison:" echo "https://gitlab.com/msberends/AMR/compare/master...premaster?view=inline" -echo "Check for all CRAN tests:" -echo "rhub::check_for_cran(devtools::build(args = c('--no-build-vignettes')))" + +echo +echo "•••••••••" +echo "• Done •" +echo "••••••••" +echo +read -p "Upload to R-hub builder (y/N)? " choice +case "$choice" in + y|Y|j|J ) ;; + * ) exit 1;; +esac +Rscript -e "rhub::check_for_cran(devtools::build())" echo -echo "Done." diff --git a/vignettes/resistance_predict.Rmd b/vignettes/resistance_predict.Rmd index 7faada70..42dacde0 100755 --- a/vignettes/resistance_predict.Rmd +++ b/vignettes/resistance_predict.Rmd @@ -91,7 +91,7 @@ Resistance is not easily predicted; if we look at vancomycin resistance in Gram ```{r} septic_patients %>% - filter(mo_gramstain(mo) == "Gram positive") %>% + filter(mo_gramstain(mo, language = NULL) == "Gram-positive") %>% resistance_predict(col_ab = "VAN", year_min = 2010, info = FALSE) %>% ggplot_rsi_predict() ``` @@ -112,7 +112,7 @@ For the vancomycin resistance in Gram positive bacteria, a linear model might be ```{r} septic_patients %>% - filter(mo_gramstain(mo) == "Gram positive") %>% + filter(mo_gramstain(mo, language = NULL) == "Gram-positive") %>% resistance_predict(col_ab = "VAN", year_min = 2010, info = FALSE, model = "linear") %>% ggplot_rsi_predict() ```