update admiral link to last release

pharmaverse · Feb 6, 2023 · 441a4fa · 441a4fa
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commit 441a4fa
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Showing 6 changed files with 9 additions and 9 deletions.
diff --git a/data-raw/adsl/adsl.R b/data-raw/adsl/adsl.R
@@ -36,7 +36,7 @@ lb <- admiral_lb
 # When SAS datasets are imported into R using haven::read_sas(), missing
 # character values from SAS appear as "" characters in R, instead of appearing
 # as NA values. Further details can be obtained via the following link:
-# https://pharmaverse.github.io/admiral/articles/admiral.html#handling-of-missing-values
+# https://pharmaverse.github.io/admiral/cran-release/articles/admiral.html#handling-of-missing-values
 
 dm <- convert_blanks_to_na(dm)
 ds <- convert_blanks_to_na(ds)
@@ -109,7 +109,7 @@ ex_ext <- ex %>%
 adsl <- dm %>%
    ## derive treatment variables (TRT01P, TRT01A) ----
 # See also the "Visit and Period Variables" vignette
-# (https://pharmaverse.github.io/admiral/articles/visits_periods.html#treatment_adsl)
+# (https://pharmaverse.github.io/admiral/cran-release/articles/visits_periods.html#treatment_adsl)
 mutate(TRT01P = ARM, TRT01A = ACTARM) %>%
    ## derive treatment start date (TRTSDTM) ----
 derive_vars_merged(

diff --git a/data-raw/adsl/adsl_script.html b/data-raw/adsl/adsl_script.html
@@ -397,7 +397,7 @@
 # When SAS datasets are imported into R using haven::read_sas(), missing
 # character values from SAS appear as &quot;&quot; characters in R, instead of appearing
 # as NA values. Further details can be obtained via the following link:
-# https://pharmaverse.github.io/admiral/articles/admiral.html#handling-of-missing-values
+# https://pharmaverse.github.io/admiral/cran-release/articles/admiral.html#handling-of-missing-values
 
 dm &lt;- convert_blanks_to_na(dm)
 ds &lt;- convert_blanks_to_na(ds)
@@ -470,7 +470,7 @@
 adsl &lt;- dm %&gt;%
    ## derive treatment variables (TRT01P, TRT01A) ----
 # See also the &quot;Visit and Period Variables&quot; vignette
-# (https://pharmaverse.github.io/admiral/articles/visits_periods.html#treatment_adsl)
+# (https://pharmaverse.github.io/admiral/cran-release/articles/visits_periods.html#treatment_adsl)
 mutate(TRT01P = ARM, TRT01A = ACTARM) %&gt;%
    ## derive treatment start date (TRTSDTM) ----
 derive_vars_merged(

diff --git a/data-raw/tidylog/ex2_tidylog_adsl.R b/data-raw/tidylog/ex2_tidylog_adsl.R
@@ -31,7 +31,7 @@ lb <- admiral_lb
 # When SAS datasets are imported into R using haven::read_sas(), missing
 # character values from SAS appear as "" characters in R, instead of appearing
 # as NA values. Further details can be obtained via the following link:
-# https://pharmaverse.github.io/admiral/articles/admiral.html#handling-of-missing-values
+# https://pharmaverse.github.io/admiral/cran-release/articles/admiral.html#handling-of-missing-values
 
 dm <- convert_blanks_to_na(dm)
 ds <- convert_blanks_to_na(ds)

diff --git a/data-raw/tidylog/ex2_tidylog_adsl_R_file.html b/data-raw/tidylog/ex2_tidylog_adsl_R_file.html
@@ -398,7 +398,7 @@
 # When SAS datasets are imported into R using haven::read_sas(), missing
 # character values from SAS appear as &quot;&quot; characters in R, instead of appearing
 # as NA values. Further details can be obtained via the following link:
-# https://pharmaverse.github.io/admiral/articles/admiral.html#handling-of-missing-values
+# https://pharmaverse.github.io/admiral/cran-release/articles/admiral.html#handling-of-missing-values
 
 dm &lt;- convert_blanks_to_na(dm)
 ds &lt;- convert_blanks_to_na(ds)

diff --git a/vignettes/articles/adsl_script.html b/vignettes/articles/adsl_script.html
@@ -397,7 +397,7 @@
 # When SAS datasets are imported into R using haven::read_sas(), missing
 # character values from SAS appear as &quot;&quot; characters in R, instead of appearing
 # as NA values. Further details can be obtained via the following link:
-# https://pharmaverse.github.io/admiral/articles/admiral.html#handling-of-missing-values
+# https://pharmaverse.github.io/admiral/cran-release/articles/admiral.html#handling-of-missing-values
 
 dm &lt;- convert_blanks_to_na(dm)
 ds &lt;- convert_blanks_to_na(ds)
@@ -470,7 +470,7 @@
 adsl &lt;- dm %&gt;%
    ## derive treatment variables (TRT01P, TRT01A) ----
 # See also the &quot;Visit and Period Variables&quot; vignette
-# (https://pharmaverse.github.io/admiral/articles/visits_periods.html#treatment_adsl)
+# (https://pharmaverse.github.io/admiral/cran-release/articles/visits_periods.html#treatment_adsl)
 mutate(TRT01P = ARM, TRT01A = ACTARM) %&gt;%
    ## derive treatment start date (TRTSDTM) ----
 derive_vars_merged(

diff --git a/vignettes/articles/ex2_tidylog_adsl_R_file.html b/vignettes/articles/ex2_tidylog_adsl_R_file.html
@@ -398,7 +398,7 @@
 # When SAS datasets are imported into R using haven::read_sas(), missing
 # character values from SAS appear as &quot;&quot; characters in R, instead of appearing
 # as NA values. Further details can be obtained via the following link:
-# https://pharmaverse.github.io/admiral/articles/admiral.html#handling-of-missing-values
+# https://pharmaverse.github.io/admiral/cran-release/articles/admiral.html#handling-of-missing-values
 
 dm &lt;- convert_blanks_to_na(dm)
 ds &lt;- convert_blanks_to_na(ds)