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 |
|---|---|---|---|---|---|
5e3ef3e250d642ce265c2b1a67dcdc19ecc43570 | kmillar/cxxr | src/extra/testr/filtered-test-suite/ispairlist/tc_ispairlist_8.R | expected <- eval(parse(text="FALSE"));
test(id=0, code={
argv <- eval(parse(text="list(structure(list(sec = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), min = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), hour = c(20L, 19L, 19... | 1,406 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | kmillar/cxxr | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | jeffreyhorner/R-Judy-Arrays | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | skyguy94/R | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
5e3ef3e250d642ce265c2b1a67dcdc19ecc43570 | kmillar/rho | src/extra/testr/filtered-test-suite/ispairlist/tc_ispairlist_8.R | expected <- eval(parse(text="FALSE"));
test(id=0, code={
argv <- eval(parse(text="list(structure(list(sec = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), min = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), hour = c(20L, 19L, 19... | 1,406 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | allr/timeR | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | patperry/r-source | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | LeifAndersen/R | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | mirror/r | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | reactorlabs/gnur | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
02e1c57e4efc64bcfd525bc3fb04230939fdc4be | vinash85/gwam | packrat/init.R | local({
libDir <- file.path('packrat', 'lib', R.version$platform, getRversion())
if (is.na(Sys.getenv("RSTUDIO_PACKRAT_BOOTSTRAP", unset = NA)) &&
suppressWarnings(requireNamespace("packrat", quietly = TRUE, lib.loc = libDir))) {
# Check 'print.banner.on.startup' -- when NA and RStudio, don't print
... | 6,583 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | kmillar/rho | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | glycerine/bigbird | r-3.0.2/src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | bsd-2-clause |
02e1c57e4efc64bcfd525bc3fb04230939fdc4be | jitans/Finance | packrat/init.R | local({
libDir <- file.path('packrat', 'lib', R.version$platform, getRversion())
if (is.na(Sys.getenv("RSTUDIO_PACKRAT_BOOTSTRAP", unset = NA)) &&
suppressWarnings(requireNamespace("packrat", quietly = TRUE, lib.loc = libDir))) {
# Check 'print.banner.on.startup' -- when NA and RStudio, don't print
... | 6,583 | gpl-3.0 |
6b9079321d46b6a4475add80d601030efa87e07e | jeroenooms/r-source | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
02e1c57e4efc64bcfd525bc3fb04230939fdc4be | PauloEduardoCardoso/RLandsat | packrat/init.R | local({
libDir <- file.path('packrat', 'lib', R.version$platform, getRversion())
if (is.na(Sys.getenv("RSTUDIO_PACKRAT_BOOTSTRAP", unset = NA)) &&
suppressWarnings(requireNamespace("packrat", quietly = TRUE, lib.loc = libDir))) {
# Check 'print.banner.on.startup' -- when NA and RStudio, don't print
... | 6,583 | unlicense |
6b9079321d46b6a4475add80d601030efa87e07e | kalibera/rexp | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
98bf784f5fefb9060e4a32301f4133ec93a4702a | DeskGen/dgcli | library_design/dgl/visualise_guides.R | args<-commandArgs(TRUE)
#args[1]=guide_list
#args[2]=bs_list
#args[3]=cds_list
#setwd('~/Documents/deskgen_projects/mouse_library')
#args=c('cnio_all_guides_NGG_CDSpos.txt', 'cnio_blackswans_150507.txt', 'previous/cnio_genelist_exon_scores.txt', 'previous/cnio_genelist.txt')
#bs_guides <- read.table(file='cnio_blacks... | 2,510 | gpl-2.0 |
5e3ef3e250d642ce265c2b1a67dcdc19ecc43570 | cxxr-devel/cxxr | src/extra/testr/filtered-test-suite/ispairlist/tc_ispairlist_8.R | expected <- eval(parse(text="FALSE"));
test(id=0, code={
argv <- eval(parse(text="list(structure(list(sec = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), min = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), hour = c(20L, 19L, 19... | 1,406 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | WelkinGuan/r-source | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | cxxr-devel/cxxr | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
02e1c57e4efc64bcfd525bc3fb04230939fdc4be | keyuan/bitphyloR | packrat/init.R | local({
libDir <- file.path('packrat', 'lib', R.version$platform, getRversion())
if (is.na(Sys.getenv("RSTUDIO_PACKRAT_BOOTSTRAP", unset = NA)) &&
suppressWarnings(requireNamespace("packrat", quietly = TRUE, lib.loc = libDir))) {
# Check 'print.banner.on.startup' -- when NA and RStudio, don't print
... | 6,583 | gpl-3.0 |
6b9079321d46b6a4475add80d601030efa87e07e | nathan-russell/r-source | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
5e3ef3e250d642ce265c2b1a67dcdc19ecc43570 | krlmlr/cxxr | src/extra/testr/filtered-test-suite/ispairlist/tc_ispairlist_8.R | expected <- eval(parse(text="FALSE"));
test(id=0, code={
argv <- eval(parse(text="list(structure(list(sec = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), min = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), hour = c(20L, 19L, 19... | 1,406 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | lajus/customr | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | johngarvin/R-2.1.1rcc | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | krlmlr/cxxr | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | cxxr-devel/cxxr-svn-mirror | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | aviralg/R-dyntrace | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | mathematicalcoffee/r-source | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | hadley/r-source | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | ArunChauhan/cxxr | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | limeng12/r-source | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | SensePlatform/R | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
6b9079321d46b6a4475add80d601030efa87e07e | hlin09/renjin | packages/datasets/src/main/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-3.0 |
6b9079321d46b6a4475add80d601030efa87e07e | andy-thomason/r-source | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
02e1c57e4efc64bcfd525bc3fb04230939fdc4be | jitans/Finance | packrat/lib/x86_64-pc-linux-gnu/3.1.1/packrat/resources/init.R | local({
libDir <- file.path('packrat', 'lib', R.version$platform, getRversion())
if (is.na(Sys.getenv("RSTUDIO_PACKRAT_BOOTSTRAP", unset = NA)) &&
suppressWarnings(requireNamespace("packrat", quietly = TRUE, lib.loc = libDir))) {
# Check 'print.banner.on.startup' -- when NA and RStudio, don't print
... | 6,583 | gpl-3.0 |
6b9079321d46b6a4475add80d601030efa87e07e | radfordneal/pqR | src/library/datasets/data/presidents.R | "presidents" <-
structure(c(NA, 87, 82, 75, 63, 50, 43, 32, 35, 60, 54, 55, 36, 39, NA,
NA, 69, 57, 57, 51, 45, 37, 46, 39, 36, 24, 32, 23, 25, 32, NA, 32, 59,
74, 75, 60, 71, 61, 71, 57, 71, 68, 79, 73, 76, 71, 67, 75, 79, 62, 63,
57, 60, 49, 48, 52, 57, 62, 61, 66, 71, 62, 61, 57, 72, 83, 71, 78, 79,
71, 62, 74, ... | 557 | gpl-2.0 |
15605b1abc63553ae65421907019d4e7af63f37f | datashield/dsStatsClient | R/ds.cov.R | #'
#' @title Computes covariance between two or more vectors
#' @description This is similar to the R base function 'cov'.
#' @details In addition to computing covariances; this function, unlike
#' the R base function 'cov', produces a table outlining the number of complete cases
#' to allow for the user to make a de... | 3,841 | gpl-3.0 |
cc267570e5ed39aa5b6b0f8ef869d179cf0a11ca | manlius/muxViz | examples-scripts/example_plot_edgecolored.R | library("muxViz")
#Or build by specifying layers
Layers <- 3
Nodes <- 100
NodeTensor <- list()
#Generate an edge-colored network
g <- barabasi.game(Nodes, m=1, directed=F)
g.list <- list()
for(l in 1:Layers){
g.list[[l]] <- delete_edges(g, sample( E(g), floor(0.2*length(E(g))) ) )
NodeTensor[[l]] <- get.adja... | 1,717 | gpl-3.0 |
b0ddd2ae8b452fc5a2be6c40617f7794a7fbed22 | gomezlab/exit | src/postProcessAlignment.R | ##
##
## Author: doreper
##
## After clusterDistribute has finished, call this script to assemble all the generated
## bam files into a dataframe, and then write the data frame out in various forms to file:
##
## Among the output files:
## output/eventsPerPosPerJackpot.csv
## output/eventsPerGenePerDist.csv
## output... | 4,660 | lgpl-3.0 |
3e00905bf55285fc46af6aafb746fe4dbbee539e | wibeasley/readr | R/collectors.R | collector <- function(type, ...) {
structure(list(...), class = c(paste0("collector_", type), "collector"))
}
is.collector <- function(x) inherits(x, "collector")
#' @export
print.collector <- function(x, ...) {
cat("<", class(x)[1], ">\n", sep = "")
}
collector_find <- function(name) {
if (is.na(name)) {
... | 14,322 | gpl-2.0 |
94e26b43a37b324852ed4ed827fd7008e4c97d32 | chihlinwei/faodosimeeting | R/cimp5_2041_2060_sd.R | #' Model-Averaging Standard Deviation of Seafloor Climatic Data during 2041 to 2060
#'
#' Standard deviation of projected (RCP8.5) export POC flux to seafloor, bottom dissolved oxygen concentration, hydrogen ion concentration
#' and temperature were calculated from the Geophysical Fluid Dynamics Laboratory’s ESM 2G ... | 1,748 | gpl-3.0 |
441ac6456788cf61aa5cb20f2e373974d22f15c3 | wenching/HiTC | R/AllGenerics.R | ##Generics
setGeneric(name="intdata", def=function(x) standardGeneric("intdata"))
setGeneric(name="intdata<-", def=function(x,value) standardGeneric("intdata<-"))
#setGeneric(name="isSymmetric", def=function(x) standardGeneric("isSymmetric"))
setGeneric(name="id", def=function(x) standardGeneric("id"))
setGeneric(nam... | 1,753 | artistic-2.0 |
2df49fa6c6eb1231d49a59a38971a8860603e33c | bdanalytics/PM_Lectures | PM_Lectures_27.R | rm(list=ls())
setwd("~/Documents/Work/Courses/Coursera/process-mining/Projects/PM_Lectures")
source("~/Dropbox/datascience/R/mypetrinet.R")
#page4
page4_traces_df <- data.frame(trace=c(
rep("a,b,d,e,h", 1),
rep("a,d,c,e,g", 1),
rep("a,c,d,e,f,b,d,e,g", 1),
rep("a,d,b,e,h", 1),
rep("a,c,d,e,f,d,c,e,... | 16,220 | gpl-2.0 |
10384254b1c39aacf4bb1658ed79a03ae249f2cf | xieguigang/spectrum | Rscript/R/mzkit/test/centroidTest.R | ions <- read.mgf("D:/MassSpectrum-toolkits/DATA/test/HCD_profiles.txt");
profile <- ions[[1]]$ms2;
ms2 <- centroid.2(profile, angle.threshold = 0.1);
write.csv(ms2, file ="D:/MassSpectrum-toolkits/Rscript/demo/mz_centroid.csv", row.names = FALSE); | 249 | mit |
e2dfd4e35065819e5de6c276d4dc52cbf85e41ae | adoroszlai/DataProductsAssignment | ui.R | library(shiny)
shinyUI(fluidPage(
titlePanel("Ball Motion"),
sidebarLayout(
sidebarPanel(
sliderInput("initial_speed",
"Initial speed (m/s):",
min = 1,
max = 10,
value = 5),
sliderInput("angle",
"Angle (degr... | 1,056 | mit |
67886b437a763f56d1ac09544770369e2c64d77e | ecjbosu/fSEAL | PerformanceAnalytics/R/PortfolioRisk.R | ###############################################################################
# Functions to peRform component risk calculations on portfolios of assets.
#
# Copyright (c) 2007-2009 Kris Boudt and Brian G. Peterson
# This R package is distributed under the terms of the GNU Public License (GPL)
# for full details... | 18,902 | gpl-2.0 |
7c3f71f5cffe862277fce3dc5581e338d4916fd6 | streampulse/model | runmods_phase2.R | # rm(list=ls()); cat('\014')
# install.packages('devtools')
# library(devtools)
# install_github('streampulse/StreamPULSE', ref='master', dependencies=TRUE)
# install.packages('streamMetabolizer', dependencies=TRUE,
# repos=c('https://owi.usgs.gov/R','https://cran.rstudio.com'))
library(StreamPULSE)
... | 4,170 | mit |
6c0d9438c74146bac3994c4ab2df7ed266f733fc | kenmcgarry/UKCI-2014-code | UKCI2014_hdn.R | ## UKCI2014_hdn.r 2/06/14
## load in files for disease and gene lists
## The deadline is 8th June 2014
library(igraph)
library(linkcomm)
library(bipartite)
library(NetIndices)
library(NCBI2R)
#library(networksis)
#library(network)
#----------------- GENE CARDS: diabetes and diseases related to diabetes -----------... | 11,235 | mit |
0c3479d794bd39f4c2cacea2e63e32f6812bf965 | SCCWRP/CSCI | R/extent.R | ######
#' Sample extents
#'
#' Sample extents
#'
#' @format A \code{data.frame}
#'
#' @details The object is used internally
#'
#' @examples
#' data(extent)
"extent" | 170 | lgpl-3.0 |
ed1f269e60b9fbe0f2f59a9b6e151ef46f6fc73f | ColinFay/rgeoapi | R/RegByName.R | #'Get Region by Name
#'
#'Get informations about a French region by its name. Please note that this package works only with French regions.
#'
#'Takes a name, returns a data.frame with the available values.
#'@param nom a character string with the name of the department. Partial matches are possible. In that case, typo... | 1,771 | gpl-3.0 |
50a211028ee1b011d5cbcc644ac0a96c452ff082 | sebkopf/shinyApps | nitrogen_cycle_dynamics/server.R | library(shiny)
library(DT)
library(readxl)
library(ggplot2)
library(scales)
library(grid)
library(gridExtra)
library(RColorBrewer)
library(latex2exp)
library(magrittr)
library(plyr)
library(reshape2)
library(knitr)
# PARAMETERS and PROCESSES =======
params <<- read_excel("nox_isotope_dynamics.xlsx", sheet = "variables... | 7,304 | gpl-3.0 |
57592eee5ec966615e3fcc728c9e18434b0caed3 | rloudon/rloudon.github.io | assets/R/renderRscript2markdown_sample.R | #' ---
#' title: Sample HTML report generated from R script
#' author: Andrew Brooks
#' date: March 4, 2015
#' output:
#' html_document:
#' toc: true
#' highlight: zenburn
#' ---
#' ## Generate document body from comments
#' All the features from markdown and markdown supported within .Rmd documents, I wa... | 8,211 | mit |
64ed87e824260eb3955b20ced8ae214a2ff1547d | vnminin/SISMID_MCMC_I | 2015/code/SIRaugmentation_reduced.R | # This source code contains the main program (sampleSIR.R) and
# all required subroutines.
# Last updated July 12, 2015/KA
######################
# (1) Program readdata
######################
readdata = function(){
# July 16, 2012/KA
#
# This function outputs the Abakaliki smallpox data.
# The data points a... | 16,093 | gpl-2.0 |
f61e4c2e000d6cd2371cbeab928a63d214f3073b | tsackton/ratite-genomics | 06_protein_coding_analysis/paml_branch/run_rerConverge.R | #use RERconverge
library(tidyverse)
library(devtools)
#using my fork of RERconverge that fixes a few small bugs
#install_github("tsackton/RERconverge")
library(RERconverge)
setwd("~/Projects/birds/ratite_compgen/ratite-genomics/06_protein_coding_analysis/paml_branch/")
## INITIAL SET UP ##
#get hog to gene id
hog_... | 15,645 | gpl-3.0 |
57592eee5ec966615e3fcc728c9e18434b0caed3 | brooksandrew/simpleblog | assets/R/renderRscript2markdown_sample.R | #' ---
#' title: Sample HTML report generated from R script
#' author: Andrew Brooks
#' date: March 4, 2015
#' output:
#' html_document:
#' toc: true
#' highlight: zenburn
#' ---
#' ## Generate document body from comments
#' All the features from markdown and markdown supported within .Rmd documents, I wa... | 8,211 | mit |
64ed87e824260eb3955b20ced8ae214a2ff1547d | vnminin/SISMID_MCMC_I | 2016/code/SIRaugmentation_reduced.R | # This source code contains the main program (sampleSIR.R) and
# all required subroutines.
# Last updated July 12, 2015/KA
######################
# (1) Program readdata
######################
readdata = function(){
# July 16, 2012/KA
#
# This function outputs the Abakaliki smallpox data.
# The data points a... | 16,093 | gpl-2.0 |
8b615a5996285b49b57ec15babb99d8e559314e9 | NMFS-toolbox/AMAK | examples/atka/2019/am2019.R | R
rm(list=ls())
ls()
source("R/prelims.R")
.THEME=mytheme
#-------------------------------------------------------------------------------
# Visual compare runs
#-------------------------------------------------------------------------------
library(ggridges)
source("R/compareRuns.r")
# Read in the output of t... | 29,578 | mit |
9ca4c63f9ee9292e53e4bc11cdc62737f17e9ebf | ganna10/Meteorology_and_Ozone | Analytical_Model/Contours_new_MEGAN.R | # Plot contours, facet run ~ mechanism
# Version 0: Jane Coates 08/12/2015
setwd("~/Documents//Analysis//2015_Meteorology_and_Ozone//Analytical_Model/")
# mechanisms <- c("MCMv3.2", "CRIv2", "MOZART-4", "CB05", "RADM2")
mechanisms <- c("CB05")
spc <- "O3"
data.list <- lapply(mechanisms, get_analytical_model_data, Ru... | 1,786 | gpl-2.0 |
5074dce02b7ad1c20da09f7879a578a8d25393c0 | droglenc/WiDNR_Statewide_2015 | Day1_IntroR_FMData/03_MutateData.R | # 03_MutateData.Rmd
# load needed packages
library(fishWiDNR) # for setDBClasses(), changeDBNames()
library(dplyr) # for filter(), select(), mutate(), rename()
library(lubridate) # for month()
library(FSA) # for expandCounts(), capFirst(), filterD()
# load FM data and expand lengths ... mostly copied ... | 1,822 | gpl-2.0 |
c5fa491988ebd91b4ebdb2ff910f600a12d37eef | steve-the-bayesian/BOOM | Interfaces/R/Boom/R/format.R | ## A collection of utilities for formatting error messages.
ToString <- function(object, ...) {
## Args:
## object: An R object to be printed.
## ...: extra arguments passed to 'print'
## Returns:
## A character string, suitable for passing to an error message, containing
## the value of the objec... | 1,359 | lgpl-2.1 |
b1c4aae21f711e0748d338f9ed3a8db512ecf8ef | tzerk/gammaSpec | R/methods.R | ####################################################################################################
# methods for generic: plot()
# ##################################################################################################
#' Internal methods for base S3 generics
#'
#' Methods for S3-generics implemented for ... | 3,532 | gpl-3.0 |
c5fa491988ebd91b4ebdb2ff910f600a12d37eef | cran/Boom | R/format.R | ## A collection of utilities for formatting error messages.
ToString <- function(object, ...) {
## Args:
## object: An R object to be printed.
## ...: extra arguments passed to 'print'
## Returns:
## A character string, suitable for passing to an error message, containing
## the value of the objec... | 1,359 | lgpl-2.1 |
5074dce02b7ad1c20da09f7879a578a8d25393c0 | droglenc/RcourseWiDNR2015 | Day1_IntroR_FMData/03_MutateData.R | # 03_MutateData.Rmd
# load needed packages
library(fishWiDNR) # for setDBClasses(), changeDBNames()
library(dplyr) # for filter(), select(), mutate(), rename()
library(lubridate) # for month()
library(FSA) # for expandCounts(), capFirst(), filterD()
# load FM data and expand lengths ... mostly copied ... | 1,822 | gpl-2.0 |
ab6fcb9d59ac92a4bc1c789b3056e445593060f9 | JakeRuss/code-demos | press_release_scraper/Crapo_release_scraper.R | ###########################
# File: Crapo_release_scraper.R
# Description:
# (1) Loop through Senator Mike Crapo's website and compile a list of all the
# press release urls.
# (2) Run a second loop through the release urls and download an html copy of
# each individual press release. Save these html... | 4,073 | mit |
fef268a67a5c82a7d6721abf1d6a3413b7f298a4 | johndharrison/webpagetestr | man-roxygen/requestId.R | #' @param requestId request ID, useful to track asynchronous requests
| 70 | mit |
48b0b9f80b7fbd9c389c3cb5ed215b6c2d162dbe | vankesteren/jasp-desktop | JASP-Tests/R/tests/testthat/test-confirmatoryfactoranalysis.R | context("Confirmatory Factor Analysis")
# 3-factor run
options <- jasptools::analysisOptions("ConfirmatoryFactorAnalysis")
options$groupvar <- ""
options$invariance <- "configural"
options$mimic <- "lavaan"
options$se <- "standard"
options$estimator <- "default"
options$std <- "none"
options$factors <- list(
list(in... | 12,140 | agpl-3.0 |
61d498d6b3d3605157ed60828cf3f38001183193 | leppott/ContDataQC | vignettes/Vignette_Lakes.R | ## ----FormatHobo, eval=FALSE---------------------------------------------------
# # Packages
# library(ContDataQC)
#
# # Parameters
# # Selection.Operation <- c("GetGageData","QCRaw", "Aggregate", "SummaryStats")
# # Selection.Type <- c("Air","Water","AW","Gage","AWG","AG","WG")
# # Selection.SUB <- c("Da... | 3,982 | mit |
1e6130a56ad9af51afab9b73acd96bb5a3dcbfb2 | virtualstaticvoid/heroku-buildpack-r | test/package_tests/test.R | #
# Run package tests
#
# run from the temp directory, as tests output a bunch of files...
testdir <- tempdir()
setwd(testdir)
sapply(installed.packages()[,"Package"], tools::testInstalledPackage)
warnings()
list.files()
cat("\nSuccess\n")
| 246 | mit |
a4d830c7894c068eea853251b9e9e3a27f14a5d1 | danielecook/rdatastore | tests/testthat.R | library(testthat)
library(rdatastore)
test_check("rdatastore")
| 64 | mit |
2f035f6d30e3bb2ddaece372616e4a52fa504b22 | IALSA/ialsa-2015-portland-stencil | reports/effects-random/effects-random.R | rm(list=ls(all=TRUE)) #Clear the memory of variables from previous run. This is not called by knitr, because it's above the first chunk.
# ---- load-sources ------------------------------------------------------------
#Load any source files that contain/define functions, but that don't load any other types of variable... | 9,737 | gpl-2.0 |
1f3432363fe420f36009424be99cfb90de537ed6 | icexelloss/arrow | r/tests/testthat/test-compute-arith.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... | 7,585 | apache-2.0 |
1f3432363fe420f36009424be99cfb90de537ed6 | wesm/arrow | r/tests/testthat/test-compute-arith.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... | 7,585 | apache-2.0 |
3b7346203bfffc9dc98595beaa6b44c6db203738 | wch/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) 1995-2022 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... | 1,470 | gpl-2.0 |
1f3432363fe420f36009424be99cfb90de537ed6 | kou/arrow | r/tests/testthat/test-compute-arith.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... | 7,585 | apache-2.0 |
1f3432363fe420f36009424be99cfb90de537ed6 | apache/arrow | r/tests/testthat/test-compute-arith.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... | 7,585 | apache-2.0 |
b5f7ccf8b612101a9e9829f03767d0d7d3c72abd | fingerhuth/NG-resistance-spread | scripts/f_mixing.R | # Mixing matrix
mixing <- function(epsilon, noG, c, N) {
cN <- sum(c*N)
f <- matrix(nrow=noG,ncol=noG)
for(i in 1:noG)
for(j in 1:noG) {
if(i == j) f[i,j] <- epsilon
else f[i,j] <- 0
}
rho <- matrix(nrow=noG,ncol=noG)
for(i in 1:noG) for(j in 1:noG) rho[i,j] <- f[i,j] + (1.-epsilon)*c[j]*N... | 334 | mit |
f08e7697d7863e9e95a69f2ff1f33e87019a8cc4 | ronkeizer/PopED | R/line_search_uc.R | line_search_uc <- function(x0, f0, g0, d, f_handle,f_options,exp_index,
ls_stepmax=1, #max step length for line search
ls_delta_alpha=1e-4, #convergence criterion on alpha
ls_fdecreas=1e-4, #sufficent decrease for line search
... | 2,170 | lgpl-3.0 |
f08e7697d7863e9e95a69f2ff1f33e87019a8cc4 | andrewhooker/PopED | R/line_search_uc.R | line_search_uc <- function(x0, f0, g0, d, f_handle,f_options,exp_index,
ls_stepmax=1, #max step length for line search
ls_delta_alpha=1e-4, #convergence criterion on alpha
ls_fdecreas=1e-4, #sufficent decrease for line search
... | 2,170 | lgpl-3.0 |
b5f7ccf8b612101a9e9829f03767d0d7d3c72abd | fingerhuth/NG-resistance-spread | sensitivity/mu/f_mixing.R | # Mixing matrix
mixing <- function(epsilon, noG, c, N) {
cN <- sum(c*N)
f <- matrix(nrow=noG,ncol=noG)
for(i in 1:noG)
for(j in 1:noG) {
if(i == j) f[i,j] <- epsilon
else f[i,j] <- 0
}
rho <- matrix(nrow=noG,ncol=noG)
for(i in 1:noG) for(j in 1:noG) rho[i,j] <- f[i,j] + (1.-epsilon)*c[j]*N... | 334 | mit |
f1d5becfafc606c5afcf978e09030f11a43ff65c | MizSta14/DataAnalysis3 | rlab8.R | # Chapter 8 Lab: Decision Trees
# Fitting Classification Trees
library(tree)
library(ISLR)
attach(Carseats)
High=ifelse(Sales<=8,"No","Yes")
Carseats=data.frame(Carseats,High)
tree.carseats=tree(High~.-Sales,Carseats)
summary(tree.carseats)
plot(tree.carseats)
text(tree.carseats,pretty=0)
tree.carseats
set.seed(2)
tr... | 2,931 | mit |
f08e7697d7863e9e95a69f2ff1f33e87019a8cc4 | rikardn/PopED | R/line_search_uc.R | line_search_uc <- function(x0, f0, g0, d, f_handle,f_options,exp_index,
ls_stepmax=1, #max step length for line search
ls_delta_alpha=1e-4, #convergence criterion on alpha
ls_fdecreas=1e-4, #sufficent decrease for line search
... | 2,170 | lgpl-3.0 |
b5f7ccf8b612101a9e9829f03767d0d7d3c72abd | fingerhuth/NG-resistance-spread | sensitivity/fitness_costs/f_mixing.R | # Mixing matrix
mixing <- function(epsilon, noG, c, N) {
cN <- sum(c*N)
f <- matrix(nrow=noG,ncol=noG)
for(i in 1:noG)
for(j in 1:noG) {
if(i == j) f[i,j] <- epsilon
else f[i,j] <- 0
}
rho <- matrix(nrow=noG,ncol=noG)
for(i in 1:noG) for(j in 1:noG) rho[i,j] <- f[i,j] + (1.-epsilon)*c[j]*N... | 334 | mit |
b5f7ccf8b612101a9e9829f03767d0d7d3c72abd | fingerhuth/NG-POC-resistance | scripts/f_mixing.R | # Mixing matrix
mixing <- function(epsilon, noG, c, N) {
cN <- sum(c*N)
f <- matrix(nrow=noG,ncol=noG)
for(i in 1:noG)
for(j in 1:noG) {
if(i == j) f[i,j] <- epsilon
else f[i,j] <- 0
}
rho <- matrix(nrow=noG,ncol=noG)
for(i in 1:noG) for(j in 1:noG) rho[i,j] <- f[i,j] + (1.-epsilon)*c[j]*N... | 334 | mit |
c6cb9837fbf15c24ebb5c273cae5094aea8a7cce | savvasjconstantinou/tRinityanalysis | Tp NS analysis and plot.R | #script to create plot for normal segmentation in Thamnocephalus platyurus. Want to visualize the differences
# in engrailed number by age and demonstrate the number of points collected.
#load required libraries
library(data.table)
library(Hmisc)
library(extrafont)
loadfonts()
#read in data
TpNS<- fread("C... | 2,010 | mpl-2.0 |
718b8739dbdd618d90d4374d0784875cc5ffd6ce | jukiewiczm/renjin | tests/src/test/R/test.NextMethod.R |
library(hamcrest)
library(stats)
test.many <- function() {
x <- ts(1:10, frequency = 4, start = c(1959, 2))
y <- x - x
assertThat(y, identicalTo(structure(c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
.Tsp = c(1959.25, 1961.5, 4), class = 'ts')))
} | 294 | gpl-3.0 |
af225764704a50959d0a626d1d03a822bc06b30c | bird-team/brisbane-birds | code/functions/grid_summary_table.R | #' Grid summary table
#'
#' This function creates a summary table describing a grid cell.
#'
#' @param x \code{integer} grid cell identifier.
#'
#' @param species_data \code{data.frame} containing the scientific name and
#' threat status information about the species. The argument to \code{data}
#' must have the co... | 7,901 | gpl-3.0 |
eb54a1a53bb6fe1dab0938cf537fd7b865dadc37 | langcog/alignment | models/R/www2016_simulation_eta_crossiter.R | library(ggplot2)
library(data.table)
library(dplyr)
library(langcog)
library(readr)
library(tidyr)
library(stringr)
library(magrittr)
library(directlabels)
library(lubridate)
library(lme4)
library(rstan)
rstan_options(auto_write = TRUE)
options(mc.cores = parallel::detectCores())
#options(mc.cores = 1)
invlogit <- fu... | 23,096 | gpl-2.0 |
e48f9ef9393908448f3950fe8faf26d4178550ae | Pipe-line/dataScience | 03_preparacion_datos/src/04_transformacion_dplyr.R | #################
# Luz Frias
# 2016-10-25
# dplyr
# Basado en las vignettes de dplyr
#################
# dplyr es una evolución de plyr, con una gran mejora en rendimiento
library(dplyr)
library(nycflights13)
# Los datos: flights. Más info en ?flights
dim(flights)
head(flights)
sapply(flights, class)
flights # sin ... | 2,602 | mit |
a0fd11e2927d99ca5bd97ee977a8e32c42363f57 | jameshay218/vaxedemic | scripts/summary_plots_allocate_by_pop_size_ada.R | library(ggplot2)
library(magrittr)
postprocess <- function(n_countries) {
paste0("outputs_vax_by_pop_size/by_pop_size_coverage_data_",
n_countries, "_incidence.rds") %>%
readRDS %>%
vnapply(., sum) %>%
data.frame(n_countries = n_countries, attack_rate = .)
}
n_countries <- c(seq_len(5), seq(... | 6,918 | gpl-3.0 |
4cca877b40520245ac8c4a03ffa528545cc1df1c | NCIP/stats-analysis-server | R_source/getSubmatrix.R |
########################
# File: getSubmatrix.R
# Author: Huaitian Liu
# Date: September 2005
########################
# Generate submatrix based on sample IDs
getSubmatrix.twogrps <- function(datmat, grp1ids, grp2ids) {
allids <- dimnames(datmat)[[2]]
if (length(dimnames(datmat)[[1]])==1) {
Submatrix <- t(as.matr... | 1,775 | bsd-3-clause |
e819605394c0130813d64a7ed096ab9c8fc46244 | erikriverson/spyre | spyre/R/get_current_objects.R | #' @export
getCurrentObjects <- function(a, b, c, d, ws_list) {
express <- as.character(a)
if(grepl(".ess_|.ess.", express)) {
cat("\nreturning early!\n", file = "/home/erik/testing.txt", append = TRUE)
return(TRUE)
}
env <- get_selected_env()
objects <- objects(env)
objects_lis... | 912 | mit |
289a902d8e8c611f1fa3b04c9d2f9e1c6bf120f4 | mllg/batchtools | tests/testthat/test_resetJobs.R | test_that("resetJobs", {
reg = makeTestRegistry()
f = function(x, .job) if (x == 2) stop(2) else .job$external.dir
batchMap(f, 1:3, reg = reg)
before = list(
status = copy(reg$status),
defs = copy(reg$defs)
)
submitAndWait(reg, 1:3)
expect_file_exists(getLogFiles(reg, 3))
expect_false(identical... | 1,699 | lgpl-3.0 |
9014eb65ba0e045e5684ffb29306faf3a819e29a | mingkaijiang/quasi_equil_analytical | Plots/Figure7.R | #### To plot Figure 7
#### comparison of analytical run 8.1 and 8.2
#### Plant N uptake: GDAY vs. OCN
#### Program
gday_vs_ocn_plot <- function() {
######## GDAY approach
source("Parameters/Analytical_Run8_1_Parameters.R")
# N:C ratios for x-axis
nfseq <- seq(0.001,0.1,by=0.001)
# need a... | 7,316 | gpl-3.0 |
a64eab315ff4602b3fe32bec90c47c24ce313332 | IALSA/wave-inclusion | scripts/reports/R_starter.R | rm(list=ls(all=TRUE)) #Clear the memory of variables from previous run. This is not called by knitr, because it's above the first chunk.
cat("\f") # clear console
## @knitr load_packages
library(dplyr) # for data manipulation
library(tidyr) # for data handling
library(ggplot2) # for graphing
library(scales) #for for... | 663 | gpl-2.0 |
4ffd79808d58f75001ac83522ecfc26a903a56e0 | bedatadriven/renjin | packages/methods/R/NextMethod.R | # File src/library/methods/R/NextMethod.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2016 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; e... | 6,559 | gpl-2.0 |
73351c323ab00bfd581121c4015370d2cf483f30 | kongdd/Ipaper | tests/testthat/test-mktrend.R | test_that("multiplication works", {
x <- c(4.81, 4.17, 4.41, 3.59, 5.87, 3.83, 6.03, 4.89, 4.32, 4.69)
r <- mkTrend(x, IsPlot = FALSE)
r_cpp <- mkTrend_rcpp(x, IsPlot = FALSE)
expect_equal(r, r_cpp)
})
| 223 | gpl-3.0 |
5fdcc3a17b1892b1aa6bc2c498f8e6031cce12f8 | redmode/RStackExchange | code/APIQuery.R | ###############################################################################
#
# RStackExchange / John Horton
# oDesk Contract #13552832
#
# Authors:
# Alexander Gedranovich
# John Horton
# Created: 2014-11-03
#
# Code style follows 'Google R Style Guide'
# https://google-styleguide.googlecode.com/svn/trunk/Rguide.... | 1,648 | gpl-3.0 |
c92052342eb849c473fea81b3a977d29ad275a61 | rstudio/sparklyr | R/tbl_spark.R | #' @export
dim.tbl_spark <- function(x) {
c(NA_real_, sdf_ncol(x))
}
#' @export
type_sum.spark_jobj <- function(x) {
paste0(jobj_info(x)$repr)
}
| 150 | apache-2.0 |
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