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 |
|---|---|---|---|---|---|
e3c2e202ba489ca4d7c67d74122cc195ef64642d | momoa16/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | gccmsu/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | patricksu/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | lcoulibaly/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | jmacarter/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | PranavShrivastava/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | ZiTUNG/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | azilnoor/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | lkngin/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | srimanvs/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | biswabandhu21/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | sanjogar/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | JeromeAli/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | Evegen55/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | Echolumos/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | ylchang/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | sriramanathan/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | ajaen/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | v-nayjack/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | josh95/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | rdpeng/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | roysuchandra/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | anupkumardixit/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | juvchan/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | pavanmg/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | aslihandincer/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | KrishnakNamburi/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | ilo10/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | lgreski/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | mwilson19/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | emiels/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | jamesoliver1981/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | SteveLi90/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | magleouf/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | fbagirov/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | githubfun/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | ChiuYeeLau/RProgrammingSwirl-Coursera | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | anfe67/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | LadyoftheWater/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | hari624/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | jacobmbr/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | xueping312/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | xiang-tischhauser/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | A7medGad/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | fanying2015/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | Jutair/R-programming-Coursera | Swirl/Rsubversion/branches/topics_in/Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-2.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | xujiawei1993/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | pegasusTH/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | papas8105/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | sagigr/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | vivekkranjan/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | Kunisalili/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | Masabeca/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | rdemorae/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | mhdella/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | derwinmcgeary/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | kamfonas/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | bhagu/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | trexdg/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | hyperbeam2/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | lostinmunich/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | ABourcevet/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | Jackson85/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | AMPrescott/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | shrekodn/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | richardwei2008/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | johnsonzhj/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | bartvink/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | lipnerova/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | niloynibhochaudhury/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | k3140285kop/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | kevinbgunn/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | bblount/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | monogavinwong/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
e3c2e202ba489ca4d7c67d74122cc195ef64642d | lblinder/swirl_courses | Regression_Models/Overfitting_and_Underfitting/initLesson.R | swiss <- datasets::swiss
file.copy(from=file.path(find.package("swirl"),
"Courses/Regression_Models",
"Overfitting_and_Underfitting/fitting.R"),
to="fitting.R")
file.edit("fitting.R")
source("fitting.R", local=TRUE)
fit5 <- lm(Fertility ~ Agriculture + Examin... | 390 | gpl-3.0 |
b19bb480848e8ac57509be1dc0f52ea100a4abbe | philsf-biostat/analise_dados_VB_2016 | scripts/input-raw.R | library(xlsx)
## Leitura da planilha
dados.raw <- read.xlsx("../Planilha para Estatistica VIRNA.xlsx","Normalizada")
## Anomimizando ####
# Coluna 1 é Paciente (nome)
dados.raw <- dados.raw[-c(1)]
## Tabela simples
write.table(dados.raw, "dataset/vb-dataset.dat")
rm(dados.raw)
| 281 | gpl-2.0 |
64492fcb328483ff0452ffb3cd564302627a55af | miguel7penteado/r_lembretes | exercicio_plotar_graficos/orange_grafico1.R | #!/usr/bin/env Rscript
cat("\n+*************************************************************+")
cat("\n| Carregamento de relatorio com a função plot |")
cat("\n+*************************************************************+")
cat("\n| |")
cat(... | 5,351 | gpl-3.0 |
6399300026a9591ad8fe262f7db4a558e41c0d95 | jpritikin/OpenMx | tests/testthat/test-268.R | library(testthat)
library(OpenMx)
data(demoOneFactor)
context("268")
body <- function() {
E <- mxAlgebra(U%x%1,name="E")
factorModel <- mxModel(
"One Factor",
mxMatrix("Full", 5, 1, values=0.8,
free=TRUE, name="A"),
mxMatrix("Symm", 1, 1, values=1,
free=FALSE, name="L"),
... | 741 | apache-2.0 |
b3f11183e498ef0df529f6e0eb92b2eb8dc9fbb9 | mensxmachina/MXM-R-Package | R/glm.fsreg.R | glm.fsreg <- function(target, dataset, ini = NULL, threshold = 0.05, wei = NULL, tol = 2, ncores = 1) {
## target can be Real valued (normal), binary (binomial) or counts (poisson)
## dataset is a matrix or a data.frame with the predictor variables
## test is the test used, but not really required because ... | 17,491 | gpl-2.0 |
26cfe978fd6eabdf32443689c8bcf84653712c27 | ronkeizer/pirana_scripts | GOF/DV_vs_TIME_individual.R | ### R script supplied with Pirana
### by Ron Keizer, 2010
###
### Required: - NM table file with DV and TIME on first $TABLE record
### - Lattice library
###
### Description: This R-script create a plot of DV versus TIME, split by
### individuals, for multiple selected models
###
if(Sys.getenv("R_LIB") != ""... | 2,920 | mit |
5473007254bf63d42fe1835df50b4159015fbae2 | IBMPredictiveAnalytics/Watson_Auto_Translate | Source code/script.R |
# Watson Auto Translate
#
# Extension for IBM SPSS Modeler
# Install function for packages
packages <- function(x){
x <- as.character(match.call()[[2]])
if (!require(x,character.only=TRUE)){
install.packages(pkgs=x,repos="http://cran.r-project.org")
require(x,character.only=TRUE)
}
}
packages(httr... | 2,653 | apache-2.0 |
5473007254bf63d42fe1835df50b4159015fbae2 | IBMPredictiveAnalytics/Watson-Auto-Translate | Source code/script.R |
# Watson Auto Translate
#
# Extension for IBM SPSS Modeler
# Install function for packages
packages <- function(x){
x <- as.character(match.call()[[2]])
if (!require(x,character.only=TRUE)){
install.packages(pkgs=x,repos="http://cran.r-project.org")
require(x,character.only=TRUE)
}
}
packages(httr... | 2,653 | apache-2.0 |
7b564a6204db5cafb87b1f9ed9593a625b78f840 | anjalimbhatt/sicss-culturalvariation | intro to APIs.R | # HOW TO WORK WITH APPLICATION PROGRAMMING INTERFACES (APIS)
# Summer Institute in Computational Social Science
# Author: Chris Bail, Duke University (www.chrisbail.net)
# Many sites that prevent you from screen-scraping- which are unfortunately most of the sites you
# might want to scrape- usually offer a powerful a... | 8,575 | mit |
7b564a6204db5cafb87b1f9ed9593a625b78f840 | compsocialscience/summer-institute | 2017/materials/day2_digital_trace_data/APIs.R | # HOW TO WORK WITH APPLICATION PROGRAMMING INTERFACES (APIS)
# Summer Institute in Computational Social Science
# Author: Chris Bail, Duke University (www.chrisbail.net)
# Many sites that prevent you from screen-scraping- which are unfortunately most of the sites you
# might want to scrape- usually offer a powerful a... | 8,575 | mit |
d52d1bdf23900726fee27e760ae44e053534f4ec | jukiewiczm/renjin | packages/stats/src/main/R/ave.R | # File src/library/stats/R/ave.R
# Part of the R package, http://www.R-project.org
#
# 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 version 2 of the License, or
# (at your option) ... | 871 | gpl-3.0 |
d52d1bdf23900726fee27e760ae44e053534f4ec | hlin09/renjin | packages/stats/src/main/R/ave.R | # File src/library/stats/R/ave.R
# Part of the R package, http://www.R-project.org
#
# 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 version 2 of the License, or
# (at your option) ... | 871 | gpl-3.0 |
d52d1bdf23900726fee27e760ae44e053534f4ec | radfordneal/pqR | src/library/stats/R/ave.R | # File src/library/stats/R/ave.R
# Part of the R package, http://www.R-project.org
#
# 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 version 2 of the License, or
# (at your option) ... | 871 | gpl-2.0 |
fb354a1305da1daea5355c9b5ceee4563d3e021c | aegorenkov/science_hackday_conservation | plotcode.R | library(rgdal)
library(dplyr)
library(rgeos)
library(ggplot2)
setwd("~/DCHackday")
PAD <- readOGR(dsn = "test2", layer = "test")
HUC_list <- as.numeric(as.character(unique(PAD$HUC_12)))
#centroids <- rgeos::gCentroid(PAD, byid = TRUE)
HUC_vec <- as.numeric(as.character(PAD$HUC_12))
centroids.df <- as.data.frame(coor... | 3,746 | mit |
6b2af30e83eb113f2e85792092d00a99ba8dd482 | WilliamCooper/Ranadu | R/ComplementaryFilter.R | #' @title ComplementaryFilter
#' @description Calculates a result from combining a fast-response and slow-response signal
#' @details Applies a Butterworth filter to calculate the low-pass-filtered result of the
#' difference between the two signals, and adds this filtered result to the signal with
#' fast response.
... | 1,771 | bsd-3-clause |
84456f75dc8e10bf5ef515c605d0091d5b734a99 | gorkang/R_Exam_Creation | Functions/calculate_weight_per_topic.R | calculate_weight_per_topic <- function(Topics_exam) {
weight_per_topic <<- rep(1/length(Topics_exam), length(Topics_exam))
# IF one of the Topics does not have enough questions,
# EITHER GIVE A WARNING, OR READJUST...
} | 237 | gpl-3.0 |
56655eba13cb93a5d6a48afdc838f612cfd5c034 | ValGeo/EurobankAlpha_Viz | Server.R | library(googleVis)
suppressPackageStartupMessages(library(googleVis))
library(shiny)
#import data
mydata <- read.table("mystocks.txt")
mydata <- mydata[complete.cases(mydata),]
colnames(mydata) = c("date","alpha","eurobank")
#create final data frame
new_data <- data.frame(matrix(ncol = 3, nrow = 2*nrow(mydata)))
coln... | 1,426 | mit |
76bbbfa9a831b14f7348c9db853abbe87f37b8f5 | flaviobarros/IQCC | R/pistonrings.R | #' Piston Rings Data Set.
#'
#' The Piston Rings data set was taken from Montgomery's book. It consists of
#' 40 samples of size 5 each of values of the diameter of the piston rings.
#'
#'
#' @name pistonrings
#' @docType data
#' @format A data frame with 40 observations on the following 5 variables.
#' \describe{
... | 636 | gpl-2.0 |
6ea75c741db17a735ce0e2627be2b6c609645866 | ahvigil/thesis | scripts/run.R | #!/usr/bin/env Rscript
#Rprofmem(filename="memtrace.txt")
library(leaves)
library(argparser)
p <- arg_parser("featureRF run script");
p <- add_argument(p, "--models", help="FEATURE models to process", default="")
p <- add_argument(p, "--input", help="path for input files",
default=file.path(getwd(),... | 2,319 | gpl-3.0 |
e5d2f2cd54f2a6879bff7170e5e989fa783e9910 | reactorlabs/gnur | src/library/base/R/stop.R | # File src/library/base/R/stop.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2019 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 ver... | 4,651 | gpl-2.0 |
98d6ea26dd86de398e95fe913a4cbdc2f3692fa4 | rforge/pastecs | pkg/R/decmedian.R | "decmedian" <-
function(x, type="additive", order=1, times=1, ends="fill") {
call <- match.call()
x <- as.ts(x)
if (is.matrix(x) && ncol(x) != 1)
stop("only univariate series are allowed")
if (!is.numeric(order) || order <= 0)
stop("order must be a positive number")
if (!is.numeric(times) || times <= ... | 2,183 | gpl-2.0 |
3dcf307b52bebbd2e5cb3f3e158a3fc82bd2c71a | iesiee/PVF | R/ksDistance.R | ## Function to compute the Kolmogorov-Smirnov distance
ksDistance <- function(x, y){
N <- ncol(x)
D <- sapply(seq_len(N), function(i){
ks <- suppressWarnings(
ks.test(as.vector(x[,i]), as.vector(y[,i]))
)
ks$statistic
})
D
} | 251 | gpl-2.0 |
c3e076b9a30dff2ef24a3e5bd92fcc312ab921b5 | brightchen/h2o-3 | h2o-r/tests/testdir_algos/gbm/runit_GBM_bernoulli_SyntheticData_medium.R | # This test is to check bernoulli gbm implementation,
# It creates a synthetic dataset, runs gbm grid in H2O and R and compares aucs
setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source('../../h2o-runit.R')
test.GBM.bernoulli.SyntheticData <- function() {
# Generate dataset
# ... | 3,647 | apache-2.0 |
3bea9edc49769fb1b1566b3e352d6ab9d5f65b53 | kwanjeeraw/mETABOX | R/callMesh.R | #'Retrieve Mesh from PubChem
#'@description retrieve Mesh terms for a given PubChem CID from PubChem
#'@param pcid a string of PubChem CID
#'@return list of data frame of nodes and data frame of edges with the following components:
#'
#'nodes:
#'
#'\code{id} = mesh id
#'
#'\code{gid} = mesh id
#'
#'\code{nodename} = me... | 1,706 | gpl-3.0 |
5add332e0f59b831f51903d0904279c159a1b4c8 | Microsoft/PowerBI-visuals | RVisualTutorial/TutorialFunnelPlot/chapter4_RHTMLCustomVisual/multipleRHTML/r_files/ScriptInstallPackagesWithWorkaroundsMultipleHTML.R | # Copyright (c) Microsoft Corporation. All rights reserved.
libraryRequireInstallWithWorkarounds = function(packageName, ...)
{
print(paste("***", packageName, "***"))
if(!require(packageName, character.only = TRUE))
{
install.packages(packageName,repos = "http://cran.us.r-project.org", type = "binary",... | 1,822 | mit |
3bea9edc49769fb1b1566b3e352d6ab9d5f65b53 | ssmehta/metabox | R/callMesh.R | #'Retrieve Mesh from PubChem
#'@description retrieve Mesh terms for a given PubChem CID from PubChem
#'@param pcid a string of PubChem CID
#'@return list of data frame of nodes and data frame of edges with the following components:
#'
#'nodes:
#'
#'\code{id} = mesh id
#'
#'\code{gid} = mesh id
#'
#'\code{nodename} = me... | 1,706 | gpl-3.0 |
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