=========================================================== .___ __ __ _________________ __ __ __| _/|__|/ |_ / ___\_` __ \__ \ | | \/ __ | | \\_ __\ / /_/ > | \// __ \| | / /_/ | | || | \___ /|__| (____ /____/\____ | |__||__| /_____/ \/ \/ grep rough audit - static analysis tool v2.8 written by @Wireghoul =================================[justanotherhacker.com]=== r-cran-tidyr-1.1.2/vignettes/tidy-data.Rmd-75- r-cran-tidyr-1.1.2/vignettes/tidy-data.Rmd:76:3. `grade`, with five or six values depending on how you think of the missing value (`r sort(unique(classroom2$grade), na.last = TRUE)`). r-cran-tidyr-1.1.2/vignettes/tidy-data.Rmd-77- ############################################## r-cran-tidyr-1.1.2/vignettes/programming.Rmd-32- r-cran-tidyr-1.1.2/vignettes/programming.Rmd:33:Tidy evaluation is why we can use `!Species` to say "all the columns except `Species`", without having to quote the column name (`"Species"`) or refer to the enclosing data frame (`iris$Species`). r-cran-tidyr-1.1.2/vignettes/programming.Rmd-34- ############################################## r-cran-tidyr-1.1.2/vignettes/programming.Rmd-43- use data variables as if they were variables in the environment (i.e. you r-cran-tidyr-1.1.2/vignettes/programming.Rmd:44: write `my_variable` not `df$myvariable`). r-cran-tidyr-1.1.2/vignettes/programming.Rmd-45- ############################################## r-cran-tidyr-1.1.2/R/data.R-139-#' \item{religion}{Name of religion} r-cran-tidyr-1.1.2/R/data.R:140:#' \item{`<$10k`-`Don\'t know/refused`}{Number of respondees with r-cran-tidyr-1.1.2/R/data.R-141-#' income range in column name} ############################################## r-cran-tidyr-1.1.2/inst/doc/tidy-data.Rmd-75- r-cran-tidyr-1.1.2/inst/doc/tidy-data.Rmd:76:3. `grade`, with five or six values depending on how you think of the missing value (`r sort(unique(classroom2$grade), na.last = TRUE)`). r-cran-tidyr-1.1.2/inst/doc/tidy-data.Rmd-77- ############################################## r-cran-tidyr-1.1.2/inst/doc/pivot.html-357-<span id="cb2-2"><a href="#cb2-2"></a><span class="co">#> # A tibble: 18 x 11</span></span> r-cran-tidyr-1.1.2/inst/doc/pivot.html:358:<span id="cb2-3"><a href="#cb2-3"></a><span class="co">#> religion `<$10k` `$10-20k` `$20-30k` `$30-40k` `$40-50k` `$50-75k` `$75-100k`</span></span> r-cran-tidyr-1.1.2/inst/doc/pivot.html-359-<span id="cb2-4"><a href="#cb2-4"></a><span class="co">#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl></span></span> ############################################## r-cran-tidyr-1.1.2/inst/doc/pivot.html-369-<span id="cb2-14"><a href="#cb2-14"></a><span class="co">#> 10 Jewish 19 19 25 25 30 95 69</span></span> r-cran-tidyr-1.1.2/inst/doc/pivot.html:370:<span id="cb2-15"><a href="#cb2-15"></a><span class="co">#> # … with 8 more rows, and 3 more variables: `$100-150k` <dbl>, `>150k` <dbl>,</span></span> r-cran-tidyr-1.1.2/inst/doc/pivot.html-371-<span id="cb2-16"><a href="#cb2-16"></a><span class="co">#> # `Don't know/refused` <dbl></span></span></code></pre></div> ############################################## r-cran-tidyr-1.1.2/inst/doc/tidy-data.html-424-<span id="cb5-2"><a href="#cb5-2"></a><span class="co">#> # A tibble: 18 x 11</span></span> r-cran-tidyr-1.1.2/inst/doc/tidy-data.html:425:<span id="cb5-3"><a href="#cb5-3"></a><span class="co">#> religion `<$10k` `$10-20k` `$20-30k` `$30-40k` `$40-50k` `$50-75k` `$75-100k`</span></span> r-cran-tidyr-1.1.2/inst/doc/tidy-data.html-426-<span id="cb5-4"><a href="#cb5-4"></a><span class="co">#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl></span></span> ############################################## r-cran-tidyr-1.1.2/inst/doc/tidy-data.html-432-<span id="cb5-10"><a href="#cb5-10"></a><span class="co">#> 6 Evangel… 575 869 1064 982 881 1486 949</span></span> r-cran-tidyr-1.1.2/inst/doc/tidy-data.html:433:<span id="cb5-11"><a href="#cb5-11"></a><span class="co">#> # … with 12 more rows, and 3 more variables: `$100-150k` <dbl>, `>150k` <dbl>,</span></span> r-cran-tidyr-1.1.2/inst/doc/tidy-data.html-434-<span id="cb5-12"><a href="#cb5-12"></a><span class="co">#> # `Don't know/refused` <dbl></span></span></code></pre></div> ############################################## r-cran-tidyr-1.1.2/inst/doc/programming.Rmd-32- r-cran-tidyr-1.1.2/inst/doc/programming.Rmd:33:Tidy evaluation is why we can use `!Species` to say "all the columns except `Species`", without having to quote the column name (`"Species"`) or refer to the enclosing data frame (`iris$Species`). r-cran-tidyr-1.1.2/inst/doc/programming.Rmd-34- ############################################## r-cran-tidyr-1.1.2/inst/doc/programming.Rmd-43- use data variables as if they were variables in the environment (i.e. you r-cran-tidyr-1.1.2/inst/doc/programming.Rmd:44: write `my_variable` not `df$myvariable`). r-cran-tidyr-1.1.2/inst/doc/programming.Rmd-45- ############################################## r-cran-tidyr-1.1.2/debian/tests/run-unit-test-3-oname=tidyr r-cran-tidyr-1.1.2/debian/tests/run-unit-test:4:pkg=r-cran-`echo $oname | tr [A-Z] [a-z]` r-cran-tidyr-1.1.2/debian/tests/run-unit-test-5- r-cran-tidyr-1.1.2/debian/tests/run-unit-test-6-if [ "$AUTOPKGTEST_TMP" = "" ] ; then r-cran-tidyr-1.1.2/debian/tests/run-unit-test:7: AUTOPKGTEST_TMP=`mktemp -d /tmp/${pkg}-test.XXXXXX` r-cran-tidyr-1.1.2/debian/tests/run-unit-test-8-fi