jayhesselberth

{
  "index_name": "usethis",
  "start_urls": [
    {
      "url": "https://usethis.r-lib.org/index.html",
      "selectors_key": "homepage",
      "tags": [
        "homepage"
      ]
    },

jayhesselberth

library(nihexporter)
library(tidyverse)
library(rlang)
library(cowplot)

grant_funds <- function(codes, code_name) {
  code_name <- rlang::sym(code_name)
  
  projects %>%
    filter(activity %in% codes) %>%

jayhesselberth

``` r
library(nihexporter)
#> Loading required package: jsonlite
#> Loading required package: httr
#> Loading required package: dplyr
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag

jayhesselberth

library(tidyverse)

# How abundant is Xrn1?

tab <- readr::read_tsv("https://yeastgfp.yeastgenome.org/allOrfData.txt")

all <- tab %>%
  select(yORF, abundance) %>%
  mutate(abundance = as.numeric(abundance)) %>%
  na.omit()

jayhesselberth

``` r
library(tidyverse)

# How abundant is Xrn1?

tab <- readr::read_tsv("https://yeastgfp.yeastgenome.org/allOrfData.txt")
#> Warning: Missing column names filled in: 'X33' [33]
#> Parsed with column specification:
#> cols(
#>   .default = col_logical(),

jayhesselberth

library(tidyverse)
library(stringr)

test <- tribble(
  ~expr, ~time,
  'bedtools:random', '1',
  'bed_random', '2'
)

test %>%

jayhesselberth

* installing *source* package 'valr' ...
** libs

*** arch - i386
d:/Compiler/gcc-4.9.3/mingw_32/bin/g++  -std=gnu++11 -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include   -I"d:\RCompile\CRANpkg\lib\3.4/Rcpp/include" -I"d:\RCompile\CRANpkg\lib\3.4/BH/include" -I"d:\RCompile\CRANpkg\lib\3.4/dplyr/include" -I"d:/Compiler/gcc-4.9.3/local330/include"     -pedantic -O2 -Wall  -mtune=core2 -c RcppExports.cpp -o RcppExports.o
In file included from d:\RCompile\CRANpkg\lib\3.4/dplyr/include/dplyr.h:11:0,
                 from ../inst/include/valr.h:5,
                 from RcppExports.cpp:4:
d:\RCompile\CRANpkg\lib\3.4/dplyr/include/tools/all_na.h:15:40: warning: ISO C99 requires rest arguments to be used
     RCPP_RETURN_VECTOR( all_na_impl, x ) ;

jayhesselberth

#! /usr/bin/env python

''' seqtools-design-barcodes: Design barcoded Illumina adaptors.
    Constraints:
        1.  No homopolyeric runs
        2.  Minimum GC content is 40%
        3.  Hamming dist > 1 (for barcodes > 4 nt)
        4.  At least 3 bases in represented in each bar code
        5.  Relatively equal base representation at each position for bar
            codes in a set