id stringlengths 40 40 | repo_name stringlengths 5 110 | path stringlengths 2 233 | content stringlengths 0 1.03M ⌀ | size int32 0 60M ⌀ | license stringclasses 15
values |
|---|---|---|---|---|---|
c69f298e51921db1d957cf85f32b3fcd8b0b5087 | zyzyis/monetdb | clients/R/MonetDB.R/R/control.R | monetdb.server.start <-
function( bat.file ){
if ( .Platform$OS.type == "unix" ) {
if( !file.exists( bat.file ) ) stop( paste( bat.file , "does not exist. Run monetdb.server.setup() to create a batch file." ) )
# uugly, find path of pid file again by parsing shell script.
sc <- utils... | 10,272 | mpl-2.0 |
737e09d9e15a5a01457aa98fffbb8899025108f9 | jbrzusto/motus-R-package | R/subjobsInQueue.R | #' return a vector of subjobs of the given topjob which are in the queue
#'
#' @param tj a Twig object representing the topjob. It must have \code{parent(tj) = NULL}
#'
#' @return NULL, if no subjobs of \code{tj} are in the queue, otherwise a vector
#' with class "Twig" of job IDs.
#'
#' @export
#'
#' @author John Brz... | 495 | gpl-2.0 |
737e09d9e15a5a01457aa98fffbb8899025108f9 | jbrzusto/motusServer | R/subjobsInQueue.R | #' return a vector of subjobs of the given topjob which are in the queue
#'
#' @param tj a Twig object representing the topjob. It must have \code{parent(tj) = NULL}
#'
#' @return NULL, if no subjobs of \code{tj} are in the queue, otherwise a vector
#' with class "Twig" of job IDs.
#'
#' @export
#'
#' @author John Brz... | 495 | gpl-2.0 |
5d398ce19bc7438098fdc5db84ef0c1591872b79 | computational-neuroimaging-lab/Clark2015_AWS | spot-model/spot_sim_plots_Sw.R | # spot-model/spot_sim_plots.R
#
# Author: Cameron Craddock, Daniel Clark (2015)
# Import packages
library(ggplot2)
library(gridExtra)
library(plyr)
library(reshape2)
# Create aggregated dataframe
aggregate_df <- function(csv, func_name) {
# Read in dataframe
print('Reading in full dataframe...')
full_df <- rea... | 14,240 | mit |
491cda8da64b50ccac4597704d218d058ebea8e5 | PortfolioEffect/portfolioeffect-quant-r | PortfolioEffectHFT/demo/efficient_frontier_demo.R | ############################################################
# Part 1 - Construct portfolio for optimization
############################################################
require(PortfolioEffectHFT)
portfolio=portfolio_create(fromTime="2014-04-13 9:30:01",
toTime="2014-04-16 16:00:00")
portfolio_settings... | 4,830 | gpl-3.0 |
491cda8da64b50ccac4597704d218d058ebea8e5 | PortfolioEffect/PortfolioEffectHFT-R | PortfolioEffectHFT/demo/efficient_frontier_demo.R | ############################################################
# Part 1 - Construct portfolio for optimization
############################################################
require(PortfolioEffectHFT)
portfolio=portfolio_create(fromTime="2014-04-13 9:30:01",
toTime="2014-04-16 16:00:00")
portfolio_settings... | 4,830 | gpl-3.0 |
491cda8da64b50ccac4597704d218d058ebea8e5 | PortfolioEffect/PE-HFT-R | PortfolioEffectHFT/demo/efficient_frontier_demo.R | ############################################################
# Part 1 - Construct portfolio for optimization
############################################################
require(PortfolioEffectHFT)
portfolio=portfolio_create(fromTime="2014-04-13 9:30:01",
toTime="2014-04-16 16:00:00")
portfolio_settings... | 4,830 | gpl-3.0 |
b07ce9761996f5d8d33ff7563cd297017942aed5 | JovanSardinha/Project_Adleman | feature_extraction/FFT.R |
FFTFunction <- function(fileTyes, progressBlock, FFTWidth){
dataDir <- paste0("./data/", fileTyes, "/")
# read in data
fileNames <- list.files(dataDir, pattern="*.bytes", full.names=TRUE)
noTrain <- length(fileNames)
# # variable to break the job into 1000 blocks
# progressBlock <- 100
#
# # ... | 1,894 | apache-2.0 |
a943b4c54a453524c893f04befa747c59b14bf82 | distributions-io/invgamma-pdf | test/fixtures/test.number.R | options( digits = 16 )
library( jsonlite )
library( pscl )
alpha = 1
beta = 1
x = c( 0.5, 2.5, 5 )
y = densigamma( x, alpha,beta )
cat( y, sep = ",\n" )
data = list(
alpha = alpha,
beta = beta,
data = x,
expected = y
)
write( toJSON( data, digits = 16, auto_unbox = TRUE ), "./test/fixtures/number.json" )
| 313 | mit |
ebe56b72622d3e824ec4394e6eea12ec038fb183 | nathanlazar/BaTFLED3D | not_in_pkg/run_H2O.R | # nathan dot lazar at gmail dot com
# Runs a neural net model on cell line/drug response curves using
# all predictors for cell lines and drugs
# Usage: run_H2O.R <m1.Rdata> <m2.Rdata> <m3.Rdata> <resp.Rdata>
# <m1.cv.folds.Rdata> <m2.cv.folds.Rdata>
# <out.dir> <options>
library(m... | 41,326 | mit |
33a92840b0c488666f1359db4eeb03656db512a8 | KWB-R/kwb.wtaq | tests/testthat/test-function-wtConfiguredDistances.R | #
# This test file has been generated by kwb.test::create_test_files()
#
test_that("wtConfiguredDistances() works", {
expect_error(kwb.wtaq:::wtConfiguredDistances())
})
| 175 | mit |
16c4ee406ceb889f3e7a609f6eed6e872a76f025 | cran/hwde | R/snphwe.R | `snphwe` <-
function(obs.hom1, obs.hets, obs.hom2)
{
if(obs.hom1 < 0 || obs.hom2 < 0 || obs.hets < 0)
stop('Negative count(s) are not valid')
# total number of genotypes
N <- obs.hom1 + obs.hom2 + obs.hets
# rare homozygotes, common homozygotes
obs.homr <- min(obs.hom1, obs.hom2)
obs.homc <- max(ob... | 1,941 | gpl-2.0 |
f7d9ce506e6af7f3553a35e0b9210ef91d05b43a | h2oai/h2o-dev | h2o-r/tests/testdir_jira/runit_pubdev_1776_leave_one_out_cv.R | setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source("../../scripts/h2o-r-test-setup.R")
test.pubdev.1776 <- function() {
cars <- h2o.importFile(path=locate("smalldata/junit/cars_20mpg.csv"))
predictors <- c("displacement","power","weight","acceleration","year")
response_col <- "econo... | 582 | apache-2.0 |
ed1a8c4eac3bfcb8944f32144c10e74547d5996f | cran/mldr | R/evmetrics_ml.R | # OTHER MULTI-LABEL EVALUATION METRICS ========================================
#' @name Basic metrics
#' @rdname evmetrics-ml
#' @family evaluation metrics
#' @title Multi-label evaluation metrics
#' @description Several evaluation metrics designed for multi-label problems.
#' @param true_labels Matrix of true labels... | 1,527 | lgpl-3.0 |
94a42c4b18e982ab101bc18680aa439e2ddb930e | brennanpincardiff/RforBiochemists | textAnalysis/makeGraphofCitationsCLLPapers.R | # This data file has a list of the PubMed IDs, the year and the citation data
data <- read.csv("http://science2therapy.com/data/cllCitation2010to2014_20150722.csv", header=T)
str(data)
cit <- data$cit
# not very useful but good practice to plot the data first...
plot(density(cit))
plot(density(cit), log='x')
hist(ci... | 2,805 | mit |
f7d9ce506e6af7f3553a35e0b9210ef91d05b43a | nilbody/h2o-3 | h2o-r/tests/testdir_jira/runit_pubdev_1776_leave_one_out_cv.R | setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source("../../scripts/h2o-r-test-setup.R")
test.pubdev.1776 <- function() {
cars <- h2o.importFile(path=locate("smalldata/junit/cars_20mpg.csv"))
predictors <- c("displacement","power","weight","acceleration","year")
response_col <- "econo... | 582 | apache-2.0 |
f7d9ce506e6af7f3553a35e0b9210ef91d05b43a | michalkurka/h2o-3 | h2o-r/tests/testdir_jira/runit_pubdev_1776_leave_one_out_cv.R | setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source("../../scripts/h2o-r-test-setup.R")
test.pubdev.1776 <- function() {
cars <- h2o.importFile(path=locate("smalldata/junit/cars_20mpg.csv"))
predictors <- c("displacement","power","weight","acceleration","year")
response_col <- "econo... | 582 | apache-2.0 |
f7d9ce506e6af7f3553a35e0b9210ef91d05b43a | YzPaul3/h2o-3 | h2o-r/tests/testdir_jira/runit_pubdev_1776_leave_one_out_cv.R | setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source("../../scripts/h2o-r-test-setup.R")
test.pubdev.1776 <- function() {
cars <- h2o.importFile(path=locate("smalldata/junit/cars_20mpg.csv"))
predictors <- c("displacement","power","weight","acceleration","year")
response_col <- "econo... | 582 | apache-2.0 |
ed1a8c4eac3bfcb8944f32144c10e74547d5996f | fcharte/mldr | R/evmetrics_ml.R | # OTHER MULTI-LABEL EVALUATION METRICS ========================================
#' @name Basic metrics
#' @rdname evmetrics-ml
#' @family evaluation metrics
#' @title Multi-label evaluation metrics
#' @description Several evaluation metrics designed for multi-label problems.
#' @param true_labels Matrix of true labels... | 1,527 | lgpl-3.0 |
f7d9ce506e6af7f3553a35e0b9210ef91d05b43a | h2oai/h2o-3 | h2o-r/tests/testdir_jira/runit_pubdev_1776_leave_one_out_cv.R | setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source("../../scripts/h2o-r-test-setup.R")
test.pubdev.1776 <- function() {
cars <- h2o.importFile(path=locate("smalldata/junit/cars_20mpg.csv"))
predictors <- c("displacement","power","weight","acceleration","year")
response_col <- "econo... | 582 | apache-2.0 |
f7d9ce506e6af7f3553a35e0b9210ef91d05b43a | mathemage/h2o-3 | h2o-r/tests/testdir_jira/runit_pubdev_1776_leave_one_out_cv.R | setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source("../../scripts/h2o-r-test-setup.R")
test.pubdev.1776 <- function() {
cars <- h2o.importFile(path=locate("smalldata/junit/cars_20mpg.csv"))
predictors <- c("displacement","power","weight","acceleration","year")
response_col <- "econo... | 582 | apache-2.0 |
f7d9ce506e6af7f3553a35e0b9210ef91d05b43a | spennihana/h2o-3 | h2o-r/tests/testdir_jira/runit_pubdev_1776_leave_one_out_cv.R | setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source("../../scripts/h2o-r-test-setup.R")
test.pubdev.1776 <- function() {
cars <- h2o.importFile(path=locate("smalldata/junit/cars_20mpg.csv"))
predictors <- c("displacement","power","weight","acceleration","year")
response_col <- "econo... | 582 | apache-2.0 |
f7d9ce506e6af7f3553a35e0b9210ef91d05b43a | jangorecki/h2o-3 | h2o-r/tests/testdir_jira/runit_pubdev_1776_leave_one_out_cv.R | setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source("../../scripts/h2o-r-test-setup.R")
test.pubdev.1776 <- function() {
cars <- h2o.importFile(path=locate("smalldata/junit/cars_20mpg.csv"))
predictors <- c("displacement","power","weight","acceleration","year")
response_col <- "econo... | 582 | apache-2.0 |
dce36b959b853dcbbb79fcd95b8d4f69e0733d19 | joshuakevinjones/Code_Files | R_Scripts/Development/R__Text Mining Project 2018/old/R Text Mining_2018-05-07.R |
library(RODBC)
library(data.table)
library(readtext)
library(tm)
library(wordcloud)
library(RWeka)
setwd("S:/Projects/2018 R Text Mining/texts") # Enter the location of the folder.
#server1 <-odbcDriverConnect('driver={SQL Server};server=CQW-DBS001236.stage.twi.com; database=IAACE1; uid=IAACE1User; pwd=9n5B1RIc')
... | 2,640 | mit |
e3788813354f6a23570a1eedeb0892fe65ccfbb3 | johngarvin/R-2.1.1rcc | src/library/datasets/data/DNase.R | ### $Id: DNase.R,v 1.2 2005/08/15 16:11:26 johnmc Exp $
### Data on calibration runs for an assay of the enzyme DNase.
### cited in Davidian and Giltinan (1995) section 5.2.4, p.134
"DNase" <-
structure(list(
Run = structure(ordered(c(4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 10, 10, 10, 10, 10, 10, 10,... | 4,211 | gpl-2.0 |
3fca3c1e12d649dedf233342cba12b5f9b91fe2e | enbrown/iol-calculations | R/optics.R | #' Point class
#'
#' Internal class for ray-tracing 2D optics
#'
#' @param x x coordinate
#' @param y y coordinate
#' @return Object of Point class
#' @family optics
#' @keywords internal
Point <- function(x, y) {
stopifnot(is.numeric(x) & is.finite(x))
stopifnot(is.numeric(y) & is.finite(x))
obj <- list(X = x,... | 22,412 | agpl-3.0 |
32b7f302b8cb3c0f16b03a37c57f6689b8becfd1 | helmingstay/cellauto | old/sound_noise.R | library(seewave)
library(audio)
.fn <- 'noise.wav'
.rate <-44.1e3
## freq bounds
.bounds <- c(30, 640)
## nsamples at each freq
.nn <- 7000
## weeeeeird
#.bounds <- c(10, 1e4)
#.nn <- 100
.freq.sample <- seq(from=.bounds[1], to=.bounds[2], length.out = .rate)
## fade in/out
## in n samples
.nedge <- 1e4
.edge <- (0:(... | 701 | lgpl-3.0 |
32b7f302b8cb3c0f16b03a37c57f6689b8becfd1 | helmingstay/rcpp.cgolr | old/sound_noise.R | library(seewave)
library(audio)
.fn <- 'noise.wav'
.rate <-44.1e3
## freq bounds
.bounds <- c(30, 640)
## nsamples at each freq
.nn <- 7000
## weeeeeird
#.bounds <- c(10, 1e4)
#.nn <- 100
.freq.sample <- seq(from=.bounds[1], to=.bounds[2], length.out = .rate)
## fade in/out
## in n samples
.nedge <- 1e4
.edge <- (0:(... | 701 | lgpl-3.0 |
223d37af5b49aab1d258a49d784865ae8e522171 | agisga/grpSLOPE | R/SLOPE_solver.R | # SLOPE: Sorted L1 Penalized Estimation (SLOPE)
# Copyright (C) 2015 Malgorzata Bogdan, Ewout van den Berg, Chiara Sabatti,
# Weijie Su, Emmanuel Candes, Evan Patterson
# Copyright (C) 2020 Alexej Gossmann (minor modifications to the original code)
#
# This program is free software: you can redistribute it and/or modif... | 5,134 | gpl-3.0 |
1428a8ee60ffe0c982e621187690b5c621302adf | JuKa87/OpenMx | inst/models/passing/SummaryFitStatistics.R | #
# Copyright 2007-2015 The OpenMx Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 4,314 | apache-2.0 |
2585b636e272ccb4d696e3d31443091126522e34 | leobarone/bRasilLegis | R/obterProposicaoPorID.R | #' Get Proposition Info by Id
#'
#' @description Returns a data frame containing detailed information on the requested proposal
#' at Camara dos Deputados and respective related propositions ("proposicoes
#' apensadas"). The only parameter (idPorpo) is required. This function is similar to the
#' obterProposicao functi... | 1,419 | gpl-2.0 |
78a77071bce27806097190c078c12fdd797db1a6 | luisben/dataproductscourseproject | server.R |
# This is the server logic for a Shiny web application.
# You can find out more about building applications with Shiny here:
#
# http://www.rstudio.com/shiny/
#
library(shiny)
est_monthly_payment <- 0
total_amount_paid <- 0
savings <- 0
cm_ir_rate <- 0
shinyServer(function(input, output) {
output$... | 1,223 | mit |
0736683edc2e3b0aed4748a444eb8f7d305e63fc | smutt/RSSAC002 | examples/ex6.R | #!/usr/bin/env Rscript --vanilla
## The file is part of the RSSAC002 Graphing API.
##
## The RSSAC002 Graphing API is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## ... | 2,047 | gpl-3.0 |
c24e42e0d169030bb2a3894d97ca064f10c2b839 | NZRLIC/RLPlots | R/Merge_psv.R | #' Merge posterior files and thin
#'
#' Does not work
#'
#' @author Darcy Webber
#' @export
#'
Merge_psv <- function(source.dir, file.names, target.dir = ".", nThin = 2)
{
# Do a check
if (target.dir %in% source.dir)
{
stop("Your target directory is the same as one of your source directories!\n")
... | 1,109 | mit |
50856e3d9856c8e858029b51329f885495f1e948 | jlopezmalla/spark | R/pkg/R/context.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 15,620 | apache-2.0 |
50856e3d9856c8e858029b51329f885495f1e948 | MLnick/spark | R/pkg/R/context.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 15,620 | apache-2.0 |
50856e3d9856c8e858029b51329f885495f1e948 | publicRoman/spark | R/pkg/R/context.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 15,620 | apache-2.0 |
50856e3d9856c8e858029b51329f885495f1e948 | JerryLead/spark | R/pkg/R/context.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 15,620 | apache-2.0 |
50856e3d9856c8e858029b51329f885495f1e948 | apache-spark-on-k8s/spark | R/pkg/R/context.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 15,620 | apache-2.0 |
50856e3d9856c8e858029b51329f885495f1e948 | patrick-nicholson/spark | R/pkg/R/context.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 15,620 | apache-2.0 |
1da1e26f6d197025698523bba336eb66a672db67 | andrewdefries/andrewdefries.github.io | FDA_Pesticide_Glossary/pentachlorophenate.R | library("knitr")
library("rgl")
#knit("pentachlorophenate.Rmd")
#markdownToHTML('pentachlorophenate.md', 'pentachlorophenate.html', options=c("use_xhml"))
#system("pandoc -s pentachlorophenate.html -o pentachlorophenate.pdf")
knit2html('pentachlorophenate.Rmd')
| 264 | mit |
37d14c8b4ba7fccdebff45b856d23f7baf296043 | CuppenResearch/MutationalPatterns | R/strict_refit_best_subset_selection_sample.R | #' Function to perform the strict signature refitting for a single sample with best subset selection
#'
#' @param mut_mat_sample mutation count matrix for a single sample
#' @param signatures signature matrix
#' @param max_delta The maximum difference in original vs reconstructed cosine similarity between two iteration... | 4,144 | mit |
f61bd6e637db6393c321e97745a5c1f1493e8aa8 | skurscheid/GeneralPurpose | R/plotCoverage.R | plotCoverage <- function(x, chrom, start=1, end=length(x[[chrom]]), col="blue", xlab="Index", ylab="Coverage", main=chrom) {
xWindow <- as.vector(window(x[[chrom]], start, end))
x <- start:end
xlim <- c(start, end)
ylim <- c(0, max(xWindow))
plot(x = start, y = 0, xlim = xlim, ylim = ylim, xlab = xlab, ylab =... | 412 | gpl-2.0 |
e985c9d31e8790756f766d471e8657b1b528eba9 | flinder/aeep_mcmc | R/RcppExports.R | # This file was generated by Rcpp::compileAttributes
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
dmvnrm_arma <- function(x, mean, sigma) {
.Call('aeep_dmvnrm_arma', PACKAGE = 'aeep', x, mean, sigma)
}
mvrnorm_arma <- function(n, mu, sigma) {
.Call('aeep_mvrnorm_arma', PACKAGE = 'aeep', n, mu, sigm... | 1,705 | mit |
8a0e801edd70de0d9e86f5cad1863e39bf3b8143 | rlowrance/th | Chart1And2.R | Chart1And2 <- function(my.control) {
# class object
# methods
# $FileDependencies()
# $Txt()
# these format lines must be edited as a group (15 columns)
# line fields: scenario / response / predictorsForm / 12 x ndays
case <- '%8s %8s %5s'
header.format <- paste0(case, paste0(rep(' %6... | 6,405 | gpl-3.0 |
2e1f5ae6576c81817e03b58a8372f5ea436a5404 | Dahaniel/DoOR.functions | tests/testthat/test_functions.R | library(DoOR.functions)
library(DoOR.data)
load_door_data(nointeraction = TRUE)
context("correct output")
test_that("reset_sfr produces data with SFR value of 0", {
door_response_matrix_SFRreset <-
reset_sfr(door_response_matrix, "SFR")
expect_that(all(door_response_matrix_SFRreset["SFR", ] == 0, na.rm = TRUE)... | 627 | gpl-3.0 |
6fa3f54445b2df35fc6e7a44680e0f23c044aeeb | richelbilderbeek/ribir | tests/testthat/test-is_pbd_sim_output.R | context("is_pbd_sim_output")
test_that("basic tests", {
if (rappdirs::app_dir()$os != "win") {
sink(file.path(rappdirs::user_cache_dir(), "ddd"))
} else {
sink(rappdirs::user_cache_dir())
}
result <- is_pbd_sim_output(
PBD::pbd_sim(c(0.2, 1, 0.2, 0.1, 0.1), 15),
verbose = TRUE
)
sink()
e... | 1,163 | gpl-3.0 |
06a478f5c7e4ed02ff3080f1c28d16bbad96933c | bcgov/bcgroundwater | tests/testthat/test_gwlZypTest.R | context("gwl_zyp_test")
test_that("gwl_zyp_test returns data", {
g_month <- get_gwl(wells = 309) %>%
monthly_values() %>%
make_well_ts()
g_annual <- g_month %>%
dplyr::select(-yearmonth) %>%
dplyr::group_by(EMS_ID, Well_Num, Year) %>%
dplyr::summarize(nReadings = length(Well_Num),
... | 992 | apache-2.0 |
6fef9b7f98850acef70d801adec6d6d757112820 | m8rek/Sales_Forecast_UDJ | RunStudy.R |
# Project Name: "Sales Forecast Regression Exercise"
rm(list = ls()) # clean up the workspace
######################################################################
# THESE ARE THE PROJECT PARAMETERS NEEDED TO GENERATE THE REPORT
# When running the case on a local computer, modify this in case you saved the case i... | 3,232 | mit |
6fef9b7f98850acef70d801adec6d6d757112820 | tevgeniou/Sales_Forecast_UDJ | RunStudy.R |
# Project Name: "Sales Forecast Regression Exercise"
rm(list = ls()) # clean up the workspace
######################################################################
# THESE ARE THE PROJECT PARAMETERS NEEDED TO GENERATE THE REPORT
# When running the case on a local computer, modify this in case you saved the case i... | 3,232 | mit |
2aa6af34355726c354351a7104a6f522fba80793 | fabianekc/DataProducts_Coursera | shiny/storage.R | library(dplyr)
library(digest)
library(DBI)
library(RAmazonS3)
# decide which function to use to save based on storage type
get_save_fxn <- function(type) {
fxn <- sprintf("save_data_%s", type)
stopifnot(existsFunction(fxn))
fxn
}
save_data <- function(data, type) {
fxn <- get_save_fxn(... | 3,839 | mit |
a34cb4a8ff960167d13fdbc4cad69c9f970ce255 | wStockhausen/rTCSAM2015 | R/compareModels.Fits.NatZData.R | #'
#'@title Compare fits to size compositions from catch data for TCSAM2015 model runs
#'
#'@description Function to compare fits to size compositions from catch data for TCSAM2015 model runs.
#'
#'@param mdfr - dataframe from call to \code{getMDFR.FitsForFleets(...)} for n.at.z data
#'@param fleets - fleets to plot [N... | 5,932 | mit |
614044459824d5cecf8bc9a2d31994da4b2564be | jtrecenti/tjspCrim | R/doe.R | #' PDF to text
#'
#' @export
pdf2txt <- function(a) {
link <- 'http://www.dje.tjsp.jus.br/cdje/downloadCaderno.do?dtDiario=01/04/2015&cdCaderno=12'
download.file(link)
}
#' @export
download_arq <- function(link, a) {
passa <- FALSE
if(file.exists(a)) {
cat('arquivo ', a, ' ja existe!\n')
return('suce... | 2,851 | mit |
03312a48590e666515df598876a03676e67d4df8 | ellisp/forecastxgb-r-package | pkg/R/misc-doc.R |
#' Arctic sea ice
#'
#' Extent in millions of square kilometres of sea ice in the Arctic from 21 August 1987 to 24 November 2016.
#'
#' @source National Snow and Ice Data Center, \url{https://nsidc.org/data/docs/noaa/g02135_seaice_index/#daily_data_files"}
#' @examples
#' plot(seaice_ts)
"seaice_ts" | 306 | gpl-3.0 |
4c8a487b4a3483179aab8d1945be3955c47cc6f6 | h2oai/h2o-3 | h2o-r/tests/testdir_munging/unop/runit_cor_spearman.R | setwd(normalizePath(dirname(
R.utils::commandArgs(asValues = TRUE)$"f"
)))
source("../../../scripts/h2o-r-test-setup.R")
test.cor <- function() {
data <- as.h2o(iris)
cor_R = cor(iris[1], iris[3], method = "spearman")
cor_h2o = h2o.cor(x = data[1], y = data[3], method = "Spearman")
# R appears to be using... | 1,288 | apache-2.0 |
4c8a487b4a3483179aab8d1945be3955c47cc6f6 | michalkurka/h2o-3 | h2o-r/tests/testdir_munging/unop/runit_cor_spearman.R | setwd(normalizePath(dirname(
R.utils::commandArgs(asValues = TRUE)$"f"
)))
source("../../../scripts/h2o-r-test-setup.R")
test.cor <- function() {
data <- as.h2o(iris)
cor_R = cor(iris[1], iris[3], method = "spearman")
cor_h2o = h2o.cor(x = data[1], y = data[3], method = "Spearman")
# R appears to be using... | 1,288 | apache-2.0 |
d3a9b2a3f0e358e0a85802214be97f1016dd7987 | chipster/chipster-tools | tools/ngs/R/macs2-treatmentOnly.R | # TOOL macs2-treatmentOnly.R: "Find peaks using MACS2, treatment only" (Detects statistically significantly enriched genomic regions in ChIP-seq data. The analysis does not use a control sample. If you have several ChIP samples,you need to merge them first to one file. BAM files can be merged with the Utilities tool \"... | 9,078 | mit |
70e3053257c26c2d13c4faf23b0d62bad589a5f8 | Chris1221/coRge | R/old_analyze.R | #' Correction of Genomes in R
#'
#' Software for the Examination of Multiple Correction Methodologies in Accurate Genomic Environments
#'
#' @param i Index 1
#' @param j Index 2
#' @param k Index 3
#'
#' @return Output file at container.
#'
analyze_old <- function(i = double(), j = double()){
# just for now to grab... | 9,907 | apache-2.0 |
70e3053257c26c2d13c4faf23b0d62bad589a5f8 | Chris1221/coR-ge | R/old_analyze.R | #' Correction of Genomes in R
#'
#' Software for the Examination of Multiple Correction Methodologies in Accurate Genomic Environments
#'
#' @param i Index 1
#' @param j Index 2
#' @param k Index 3
#'
#' @return Output file at container.
#'
analyze_old <- function(i = double(), j = double()){
# just for now to grab... | 9,907 | apache-2.0 |
893358006ea5a71b2738917650cc1faca386ae43 | theclue/tableau-showcase | data-raw/rpgplayers.italy/rpg.net.prepare.R | ######################
# REQUIREMENTS #
######################
if (!require("pacman")) install.packages("pacman"); invisible(library(pacman))
tryCatch({
p_load("tidyverse", "lubridate", "rvest", "plyr")
}, warning=function(w){
stop(conditionMessage(w))
})
cached.files <- list.files(file.path(".", "temp"))
r... | 4,479 | mit |
df0de7772582c2f23a647a8c0d5001d0ff88ed31 | laurentgo/arrow | r/tests/testthat/helper-skip.R | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 2,543 | apache-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | krlmlr/cxxr | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | SurajGupta/r-source | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | abiyug/r-source | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | RevolutionAnalytics/RRO | R-src/src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
bfeb33b1174ad101b65d7697a0cd710320900a3a | andrewdefries/andrewdefries.github.io | FDA_Pesticide_Glossary/1,1-dimethylethyl_4-.R | library("knitr")
library("rgl")
#knit("1,1-dimethylethyl_4-.Rmd")
#markdownToHTML('1,1-dimethylethyl_4-.md', '1,1-dimethylethyl_4-.html', options=c("use_xhml"))
#system("pandoc -s 1,1-dimethylethyl_4-.html -o 1,1-dimethylethyl_4-.pdf")
knit2html('1,1-dimethylethyl_4-.Rmd')
| 276 | mit |
1f3c2f81975300c173f800ebc35f08698410dcc4 | ArunChauhan/cxxr | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | WelkinGuan/r-source | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | mathematicalcoffee/r-source | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | kmillar/rho | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | kmillar/cxxr | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | jimhester/r-source | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | LeifAndersen/R | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | cxxr-devel/cxxr | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | rho-devel/rho | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
1f3c2f81975300c173f800ebc35f08698410dcc4 | andy-thomason/r-source | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
963758d915765735a31e3bd9140ec0128ea16da3 | sirallen/nic-structure | R/getReports.R | #' @import httr
#' @import data.table
#' @import dplyr
#' @import stringr
#' @import rvest
#' @importFrom xml2 read_html
getPdfName <- function(rssd, as_of_date) {
paste0(PDF_DIR, rssd, '-', gsub('-', '', as_of_date), '.pdf')
}
pdf2txt <- function(file_name) {
# Install xpdf from http://www.foolabs.com/xpdf/downl... | 7,600 | mit |
1f3c2f81975300c173f800ebc35f08698410dcc4 | nathan-russell/r-source | src/library/base/R/sample.R | # File src/library/base/R/sample.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 1,240 | gpl-2.0 |
fe40ada53722deadb3ba6a7295f7e01f5a360ebd | jackwasey/icd | R/vermont_dx.R | #' Generate \code{vermont_dx} data
#'
#' Process data from \href{healthvermont.gov}{Health Vermont}
#' @template parse-template
#' @examples
#' \dontrun{
#' generate_vermont_dx(save_pkg_data = TRUE)
#' }
#' @keywords internal datagen
#' @noRd
.generate_vermont_dx <- function(save_pkg_data) {
# This is indeed in data-... | 1,594 | gpl-3.0 |
6880369e857f1d9d98da175904215ebd2f2a9b53 | dosorio/masterThesis | Code/minval/R/writeTSVmod.R | #' @export writeTSVmod
#' @author Daniel Camilo Osorio <dcosorioh@unal.edu.co>
# Bioinformatics and Systems Biology Lab | Universidad Nacional de Colombia
# Experimental and Computational Biochemistry | Pontificia Universidad Javeriana
#' @title Write a model in a TSV format for the 'sybil' R package.
#' @descri... | 5,580 | gpl-3.0 |
2574befa98feb75f2ae91747f0778312cd4720ed | dvklopfenstein/biocode | doc/mouse_resources/qtl_mapping/addiction_DOQTL_tutorial.R | ## ------------------------------------------------------------------------
library(DOQTL)
library(AnnotationHub)
library(VariantAnnotation)
## ------------------------------------------------------------------------
load(file = "/data/logan_phenotypes.Rdata")
load(file = "/data/logan_haploprobs.Rdata")
ls()
## -----... | 6,157 | mit |
211643226ff7e1398595c62a9f88dcbf3e1344a8 | Wedge-Oxford/battenberg | R/orderEdges.R | #' Convenience function that orders edges or squares
#' @author dw9, kd7
#' @noRd
orderEdges = function(levels, l, ntot,x,y) {
nMaj1 = NULL
nMin1 = NULL
nMaj2 = NULL
nMin2 = NULL
# case 1 or 2a:
if(l>levels[3]) {
#LogR criterion: ntot < x+y+1
if(ntot < x+y+1) {
# take the six options, sorte... | 4,175 | agpl-3.0 |
d67c89af26ca3d43099aadbb36e5186c03d16678 | christophergandrud/EIUCrisesMeasure | source/pca_kpca/pca_bag_of_words.R | # ---------------------------------------------------------------------------- #
# PCA Bag of Words comparision to KPCA
# Christopher Gandrud
# MIT License
# ---------------------------------------------------------------------------- #
# Set working directory. Change as needed.
possible_dir <- c('/git_repositories/EI... | 1,585 | mit |
0f9df5f37a5bd52a22f50877af2e48dc6d04e492 | MaximeRivest/scimeetr | R/find_citers_of_other_com.R | #' Find papers of one community that cite most the papers in an other community
#'
#' With \code{merge_scopus_and_wos} you can merge bibliometric data from Scopus
#' and the Web of Science. Be carefull if you are using this prior to
#' bibliographic coupling. Scopus and WOS format the cited reference field
#' different... | 1,508 | mit |
653594aa54798c7a42e76763e35e761fe21a33c0 | asardaes/dtwclust | R/UTILS-tslist.R | #' Coerce matrices or data frames to a list of time series
#'
#' Change a matrix or data frame to a list of univariate time series
#'
#' @export
#'
#' @param series A matrix or data frame where each row is a time series.
#' @param simplify Coerce all series in the resulting list to either matrix (multivariate) or
#' ... | 1,720 | gpl-3.0 |
ab5c3e60325709790cb28549bbefe41f060e88ec | ChristosChristofidis/h2o-3 | h2o-r/h2o-package/R/frame.R | ##`
##` A Mix of H2O-specific and Overloaded R methods.
##`
##` Below we have a mix of h2o and overloaded R methods according to the following ToC:
##`
##` H2O Methods:
##` ------------
##`
##` h2o.ls, h2o.rm, h2o.assign, h2o.createFrame, h2o.splitFrame, h2o.interaction, h2o.ignoreColumns, h2o.insertMissingValue... | 112,578 | apache-2.0 |
ec5faf136212a999f98b25202301b8ebddf3c0d5 | jread-usgs/mda.streams | R/verify_config.R | #' Verify that a config file row has the requisite info
#'
#' Checks the config row for valid src-site-logic pairs with respect to a given
#' model
#'
#' @param config a config df to verify
#' @param checks a character vector of tests to run
#' @param on_fail the function to apply to the error message[s] if a test f... | 1,603 | cc0-1.0 |
dde777db24fbe9409cc154947c1d2e95bb2d1e04 | tarakc02/preprocessr | tests/testthat/test-misc.R | library(preprocessr)
context("miscellaneous text cleaner uppers")
test_that("camel_underscore", {
expect_equal(camel_underscore("thisIsALongBumpyName"), "this_is_a_long_bumpy_name")
expect_equal(camel_underscore("ThisIsALongBumpyName"), "this_is_a_long_bumpy_name")
})
test_that("underscore_camel", {
expe... | 450 | mit |
fa7c3d834ad6fb8d99694cb629eac87df3518d41 | josephscheidt/heightPredictor | ui.R | #This is a UI that plots an aging curve against height and predicts future
#height based on current height
library(shiny)
shinyUI(fluidPage(
# Application title
titlePanel("Child Height Predictor"),
tabsetPanel(type = "tabs",
tabPanel("0 to 36 mos.",
sidebarLayout(
... | 3,756 | gpl-3.0 |
cc15c419d9e59b76ed67bbda27d7397f934c4548 | lijian13/Rwordseg | R/utils.R |
.detectEncoding <- function(strpaths) {
pathverify <- try(file.exists(strpaths), silent = TRUE)
if (inherits(pathverify, "try-error")) stop("Please input the path string of the dic file!")
if (!any(pathverify)) stop ("Wrong path of the dic file!")
strpath <- strpaths[pathverify][1]
analyzer = get("Analyzer"... | 5,497 | gpl-3.0 |
0883336b9bb9d73488240f6c10f8bf8aef12fa23 | coolbutuseless/AuCensus2011.STE | R/B38.R | #' ABS Australian Census 2011: Basic Community Profile [STE] Table B38: Location 1 year ago
#'
#' ABS Australian Census 2011: Basic Community Profile [STE] Table B38: Location 1 year ago
#'
#' This data-only package provides data from the 2011 Australian Census on 'Basic Community Profile [STE] Table B38: Location 1 ye... | 699 | mit |
490a1391f37560bde815c39eeb29ff65b39971aa | zildjiean/-Stat-07-06-2014-Pending- | R-Yoye-2015-01-29.R | function (m,n,p,alpha,m2,n2,p2,round1)
{
#set.seed(5)
rlr=rep(0,round1)
rll=rep(0,round1)
x=rbinom(m,n,p)
z=length(x)
j=0
k=0
for(i in 1:z){
p[i]=(x[i]/n)
}
pbar=(sum(p)/m)
cat('\n','M =',p,' ','\n')
Mbar=pbar
cat ('\n','M bar =',Mbar,'\n')
####################### Calculate UCL,CL,LCL #########... | 2,000 | lgpl-2.1 |
4e6d60b87ad7d47e741b2d0018efacb052039e35 | millerlp/Tide_controller | Generate_new_site_libraries/tide_harmonics_parse.R | # Filename: tide_harmonics_parse.R
#
# Author: Luke Miller May 1, 2012
# Updated 2015-06-03 to use new harmonics input file from 2014-12-24
###############################################################################
# This is essentially a one-time use script to call the read_harmonicsfile.R
# functions and pars... | 2,646 | gpl-3.0 |
ce4bbadc4ad09225c7442a34cf85a2dc815babdb | mcneilco/acas | modules/CurveAnalysis/src/server/DoseResponseCurveFit.R | library(racas)
library(data.table)
myMessenger <- Messenger$new()
myMessenger$logger <- createLogger(logName = "com.acas.doseresponse.fit.experiment", logToConsole = FALSE)
myMessenger$logger$debug("dose response fit experiment initiated")
fitDoseResponse <- function(request){
myMessenger <- Messenger$new()
myMess... | 1,061 | gpl-3.0 |
2c8598ff2bfcb7cc0d14c35b88f8453aa467dcef | sammorris81/spatial-skew-t | code/analysis/ozone/US-all/us-all-47.R | source("./package_load.R", chdir = TRUE)
setting <- 47
method <- "t"
nknots <- 6
keep.knots <- F
threshold <- 85
tau.init <- 0.05
thresh.quant <- F
skew <- T
temporalw <- F
temporalz <- F
temporaltau <- F
outputfile <- paste("results/us-all-", setting, ".RData", sep="")
start <- proc.time()
fit <- vector(mode="list"... | 1,328 | gpl-2.0 |
14eeec0e03cbb2764276fda0f336dfe7d65cbcb3 | fredfeng/MorpheusData | S8.R | # making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 43
student <- read.table(text=
"S_key level age
S1 JR 18
S2 SR 24
S3 JR 21
S4 SR 22
S5 JR 18
S6 SO 20
S7 SO 22", header=T)
# write.csv(student, "sql/student.csv", row.names=FALSE)
# student <- read.csv("sql/student.c... | 1,619 | cc0-1.0 |
79799cf5a32642bb85a17ca85f8bfabd48eea94c | mihawk2016/rStudyR | _OLD_PROJECTS/Practice/Shiny/TEST/server.R | library(shiny)
shinyServer(function(input, output, session) {
output$TRADE <- DT::renderDataTable({
DT::datatable(RESULT$TRADE_TABLE[,1:(dim(RESULT$TRADE_TABLE)[2]-4)])
})
output$SYMBOL <- DT::renderDataTable({
DT::datatable(RESULT$SYMBOL_TABLE)
})
output$ACCOUNT <- DT::renderDataTable({
DT::... | 363 | gpl-3.0 |
dffdfc36f2521707e754d8262df58f0c20ad5328 | cran/plsgenomics | R/internal.R | ### internal.R (2017-08)
###
### Internal plsgenomics functions
###
### Copyright 2017-08 Ghislain DURIF
###
###
### This file is part of the `plsgenomics' library for R and related languages.
### It is made available under the terms of the GNU General Public
### License, version 2, or at your option, any later ver... | 1,890 | gpl-2.0 |
06f668d596a48b038a59ca1c770054b43eeb3ed4 | dsnair/Ames_Housing_Data | exploration/train_munging.R | # install.packages("randomForest")
# install.packages("DMwR")
library(randomForest)
library(DMwR)
# training data
train = read.csv("train.csv", header = TRUE)
head(train)
summary(train)
dim(train)
# impute missing values in train data via random forest
# -----------------------------------------------------
# find... | 1,544 | gpl-3.0 |
26c2e239dc92098c1002130bbf2d019b0793621b | OpenCompare/pcm-stats | r-metrics/revisions.R | #!/usr/bin/env Rscript
setwd(".")
library(DBI)
con <- dbConnect(RSQLite::SQLite(), "../metrics/metrics.db")
# Get all users by year
res <- dbSendQuery(con, "SELECT strftime('%Y', date) as year, count(author) as author FROM revisions GROUP BY author, year")
users <- dbFetch(res)
# Get all revisions by year
res <- db... | 1,962 | apache-2.0 |
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