=========================================================== .___ __ __ _________________ __ __ __| _/|__|/ |_ / ___\_` __ \__ \ | | \/ __ | | \\_ __\ / /_/ > | \// __ \| | / /_/ | | || | \___ /|__| (____ /____/\____ | |__||__| /_____/ \/ \/ grep rough audit - static analysis tool v2.8 written by @Wireghoul =================================[justanotherhacker.com]=== r-cran-rsample-0.0.8/vignettes/Working_with_rsets.Rmd-121- r-cran-rsample-0.0.8/vignettes/Working_with_rsets.Rmd:122:Keep in mind that the baseline accuracy to beat is the rate of non-attrition, which is `r round(mean(attrition$Attrition == "No"), 3)`. Not a great model so far. r-cran-rsample-0.0.8/vignettes/Working_with_rsets.Rmd-123- ############################################## r-cran-rsample-0.0.8/vignettes/Basics.Rmd-54-``` r-cran-rsample-0.0.8/vignettes/Basics.Rmd:55:This indicates that there were `r dim(bt_resamples$splits[[1]])["analysis"]` data points in the analysis set, `r dim(bt_resamples$splits[[1]])["assessment"]` instances were in the assessment set, and that the original data contained `r dim(bt_resamples$splits[[1]])["n"]` data points. These results can also be determined using the `dim` function on an `rsplit` object. r-cran-rsample-0.0.8/vignettes/Basics.Rmd-56- ############################################## r-cran-rsample-0.0.8/vignettes/Applications/Recipes_and_rsample.Rmd-17- r-cran-rsample-0.0.8/vignettes/Applications/Recipes_and_rsample.Rmd:18:The [`recipes`](https://topepo.github.io/recipes/) package contains a data preprocessor that can be used to avoid the potentially expensive formula methods as well as providing a richer set of data manipulation tools than base R can provide. This document uses version `r packageDescription("recipes")$Version` of `recipes`. r-cran-rsample-0.0.8/vignettes/Applications/Recipes_and_rsample.Rmd-19- ############################################## r-cran-rsample-0.0.8/R/lables.R-178- } else { r-cran-rsample-0.0.8/R/lables.R:179: outer_label <- paste0("`", deparse(details$outside), "`") r-cran-rsample-0.0.8/R/lables.R-180- } ############################################## r-cran-rsample-0.0.8/R/lables.R-184- else r-cran-rsample-0.0.8/R/lables.R:185: paste0("`", deparse(details$inside), "`") r-cran-rsample-0.0.8/R/lables.R-186- ############################################## r-cran-rsample-0.0.8/R/bootci.R-128- if (nrow(x) > 0) { r-cran-rsample-0.0.8/R/bootci.R:129: terms <- paste0("`", x$term, "`") r-cran-rsample-0.0.8/R/bootci.R-130- msg <- ############################################## r-cran-rsample-0.0.8/R/bootci.R-358- # To test, we run on the first LOO data set and see if it is a vector or df r-cran-rsample-0.0.8/R/bootci.R:359: loo_test <- try(rlang::exec(.fn, loo_rs$splits[[1]], ...), silent = TRUE) r-cran-rsample-0.0.8/R/bootci.R-360- if (inherits(loo_test, "try-error")) { ############################################## r-cran-rsample-0.0.8/R/caret.R-39- if (is.null(ctrl$index)) r-cran-rsample-0.0.8/R/caret.R:40: stop("`ctrl$index` should be populated with integers", call. = FALSE) r-cran-rsample-0.0.8/R/caret.R-41- if (is.null(ctrl$indexOut)) r-cran-rsample-0.0.8/R/caret.R:42: stop("`ctrl$indexOut` should be populated with integers", call. = FALSE) r-cran-rsample-0.0.8/R/caret.R-43- ############################################## r-cran-rsample-0.0.8/inst/doc/Working_with_rsets.Rmd-121- r-cran-rsample-0.0.8/inst/doc/Working_with_rsets.Rmd:122:Keep in mind that the baseline accuracy to beat is the rate of non-attrition, which is `r round(mean(attrition$Attrition == "No"), 3)`. Not a great model so far. r-cran-rsample-0.0.8/inst/doc/Working_with_rsets.Rmd-123- ############################################## r-cran-rsample-0.0.8/inst/doc/Basics.Rmd-54-``` r-cran-rsample-0.0.8/inst/doc/Basics.Rmd:55:This indicates that there were `r dim(bt_resamples$splits[[1]])["analysis"]` data points in the analysis set, `r dim(bt_resamples$splits[[1]])["assessment"]` instances were in the assessment set, and that the original data contained `r dim(bt_resamples$splits[[1]])["n"]` data points. These results can also be determined using the `dim` function on an `rsplit` object. r-cran-rsample-0.0.8/inst/doc/Basics.Rmd-56- ############################################## r-cran-rsample-0.0.8/debian/tests/run-unit-test-6-if [ "$AUTOPKGTEST_TMP" = "" ] ; then r-cran-rsample-0.0.8/debian/tests/run-unit-test:7: AUTOPKGTEST_TMP=`mktemp -d /tmp/${debname}-test.XXXXXX` r-cran-rsample-0.0.8/debian/tests/run-unit-test-8- trap "rm -rf $AUTOPKGTEST_TMP" 0 INT QUIT ABRT PIPE TERM