genesets_df = data.frame(pathwayID=rep(names(genesets_list), lengths(genesets_list)), geneSymbol=genesets_list %>% map_dfr(as_tibble)) Update: An even simpler solution: df = data.frame(ID=names(unlist(genesets_list)), geneName=unlist(genesets_list)) ShareTweet To leave a comment ...
2.Convert to list data%>%mutate(n=seq(n()))%>%select(n,names,elements)%>%tidyr::pivot_wider(names_from=names,values_from=elements,values_fill=NA)%>%tibble::column_to_rownames("n")%>%as.list()%>%lapply(function(x){unique(x[!is.na(x)])})## drop NULL and NA---$aaa[1]...
tibble::as_tibble( npn_GET(paste0(base(), end_point), list(), TRUE, ...) ) req <- base_req %>% httr2::req_url_path_append('stations/getAllStations.json') if (!is.null(state_code)) { reqs <- lapply(state_code, function(x) httr2::req_url_query(req, state_code = x))...
TidyMultiqc::load_multiqc(multiqc_data_path)#> # A tibble: 6 × 165#> metadata.sample_id general.total_reads general.mapped_reads general.percentag…#> <chr> <dbl> <dbl> <dbl>#> 1 P4107_1003 868204107 847562410 97.6#> 2 P4107_1004 1002828927 985115356 98.2#> 3 P4107_1005 974955793...
R vector1 = c(1,"karthik","IT") names(vector1) = c("id","name","branch") df = data.frame(as.list(vector1)) print(df) 输出: 方法2:使用tibble库。 tibble 库中有一个名为as_tibble( ) 函数的方法。为了使用as_tibble( ),我们需要安装 tibble 库。要安装包,我们可以通过传递包名称作为...
jsonlite_1.7.2 [36] fs_1.5.0 googleAuthR_1.3.0 askpass_1.1 digest_0.6.27 stringi_1.5.3 processx_3.4.4 rprojroot_1.3-2 [43] grid_4.0.3 cli_2.2.0 tools_4.0.3 magrittr_2.0.1 tibble_3.0.4 crayon_1.3.4 pkgconfig_2.0.3 [50] ellipsis_0.3.1 prettyunits_1.1.1 googledrive_1.0....
Hi @bearloga , I have this example: data <- structure(list(x = c(70090.5778171204, 69356.3322413804, 67864.4479475701, 68523.3096806297, 68298.0427100604, 64327.9984660899), date = structure(c(1379894400, 1379980800, 1380067200, 13801536...