# For better printingiris <- as_tibble(iris)#across() ---# Different ways to select the same set of columns# See <https://tidyselect.r-lib.org/articles/syntax.html> for detailsiris %>% mutate(across(c(Sepal.Length, Sepal.Width), round))#> # A tibble: 150 × 5#> Sepal.Length ...
install.packages("dplyr")# Install & load dplyrlibrary("dplyr") Example 1: Sums of Columns Using dplyr Package In this Example, I’ll explain how to use the replace,is.na, summarise_all, andsumfunctions. You can see the colSums in the previous output: The column sum of x1 is 15, th...
dplyr_quosures(...), by)#> 5. │ ├─base::withCallingHandlers(...)#> 6. │ └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns)#> 7. │ ├─base::
FILE_sst (required): paths followed by file names of the population-specific GWAS summary statistics, separated by comma. Required columns: chr, rsid, pos, a0, a1, beta, beta_se, n_eff. pop (required: populations of the GWAS samples, separated by comma. ...
We received individual data files from each national team. To merge these raw data, minor modifications were introduced, which we delineate in this section. First, we renamed columns to match across data sets, reordered variables alphabetically, and standardised variable labels. Furthermore, all miss...
(FILENAME in metadata). Each hourly gauge rainfall csv file includes five columns: DateTime; RF_raw (raw hourly rainfall in millimeters); RF_mm (quality-controlled hourly rainfall in millimeters); flag_code_auto (the automated QC flag code); and flag_code_manual (the manual QC flag code)...