install.packages("tidyverse")
install.packages("qcc")
install.packages("skimr")
install.packages("rmarkdown")
x=seq(1,10)
y=seq(sapply(1:10,random(1,1)))
?Random
install.packages(DT)
install.packages("DT")
if (!require("DT")) install.packages('DT')
library(DT)
?DT
class(datatable(iris))
?htmlwidget
??htmlwidget
install.packages("palletteer")
install.packages("paletteer")
install.packages("gapminder")
install.packages("ggthemes")
install.packages("collapsebleTree")
devtools::install_github("AdeelK93/collapsibleTree")
install.packages("devtools")
devtools::install_github("AdeelK93/collapsibleTree")
install.packages("ggthemes")
names(iris)
?theme_tufte()
names(iris)
library(gapminder)
attach(gapminder)
gapminder<-gapminder %>%
filter(year) %>%
arrange(-pop) %>%
slice(1:50) %>%
mutate(GDP=gdpPercap*Pop)
library(dplyr)
gapminder<-gapminder %>%
filter(year) %>%
arrange(-pop) %>%
slice(1:50) %>%
mutate(GDP=gdpPercap*Pop)
rlang::last_error
rlang::last_error()
names(gapminder)
table(gapminder$year)
class(gapminder$year)
library(usethis)
library(ggplot2)
install.packages(c("bit", "boot", "brew", "broom", "bslib", "cachem", "callr", "class", "cli", "cluster", "codetools", "colorspace", "commonmark", "cpp11", "crayon", "curl", "data.table", "dbplyr", "devtools", "digest", "dplyr", "DT", "dtplyr", "evaluate", "fansi", "fastmap", "flexdashboard", "fontawesome", "forcats", "foreign", "fs", "gapminder", "gargle", "gert", "ggplot2", "gh", "gtable", "haven", "highr", "hms", "htmltools", "htmlwidgets", "httpuv", "httr", "isoband", "jsonlite", "knitr", "lifecycle", "lubridate", "markdown", "MASS", "Matrix", "mgcv", "modelr", "nlme", "nnet", "openssl", "paletteer", "pillar", "pkgbuild", "pkgdown", "pkgload", "processx", "ps", "purrr", "ragg", "Rcpp", "readr", "readxl", "repr", "reprex", "rlang", "rmarkdown", "roxygen2", "rpart", "rstudioapi", "rvest", "sass", "scales", "shiny", "skimr", "sourcetools", "spatial", "stringi", "stringr", "survival", "sys", "testthat", "tibble", "tidyr", "tidyselect", "tidyverse", "tinytex", "utf8", "vctrs", "viridisLite", "vroom", "whisker", "xfun", "yaml", "zip"))
install.packages(c("bit", "boot", "brew", "broom", "bslib", "cachem", "callr", "class", "cli", "cluster", "codetools", "colorspace", "commonmark", "cpp11", "crayon", "curl", "data.table", "dbplyr", "devtools", "digest", "dplyr", "DT", "dtplyr", "evaluate", "fansi", "fastmap", "flexdashboard", "fontawesome", "forcats", "foreign", "fs", "gapminder", "gargle", "gert", "ggplot2", "gh", "gtable", "haven", "highr", "hms", "htmltools", "htmlwidgets", "httpuv", "httr", "isoband", "jsonlite", "knitr", "lifecycle", "lubridate", "markdown", "MASS", "Matrix", "mgcv", "modelr", "nlme", "nnet", "openssl", "paletteer", "pillar", "pkgbuild", "pkgdown", "pkgload", "processx", "ps", "purrr", "ragg", "Rcpp", "readr", "readxl", "repr", "reprex", "rlang", "rmarkdown", "roxygen2", "rpart", "rstudioapi", "rvest", "sass", "scales", "shiny", "skimr", "sourcetools", "spatial", "stringi", "stringr", "survival", "sys", "testthat", "tibble", "tidyr", "tidyselect", "tidyverse", "tinytex", "utf8", "vctrs", "viridisLite", "vroom", "whisker", "xfun", "yaml", "zip"))
install.packages(c("bit", "boot", "brew", "broom", "bslib", "cachem", "callr", "class", "cli", "cluster", "codetools", "colorspace", "commonmark", "cpp11", "crayon", "curl", "data.table", "dbplyr", "devtools", "digest", "dplyr", "DT", "dtplyr", "evaluate", "fansi", "fastmap", "flexdashboard", "fontawesome", "forcats", "foreign", "fs", "gapminder", "gargle", "gert", "ggplot2", "gh", "gtable", "haven", "highr", "hms", "htmltools", "htmlwidgets", "httpuv", "httr", "isoband", "jsonlite", "knitr", "lifecycle", "lubridate", "markdown", "MASS", "Matrix", "mgcv", "modelr", "nlme", "nnet", "openssl", "paletteer", "pillar", "pkgbuild", "pkgdown", "pkgload", "processx", "ps", "purrr", "ragg", "Rcpp", "readr", "readxl", "repr", "reprex", "rlang", "rmarkdown", "roxygen2", "rpart", "rstudioapi", "rvest", "sass", "scales", "shiny", "skimr", "sourcetools", "spatial", "stringi", "stringr", "survival", "sys", "testthat", "tibble", "tidyr", "tidyselect", "tidyverse", "tinytex", "utf8", "vctrs", "viridisLite", "vroom", "whisker", "xfun", "yaml", "zip"))
yes
library(ggplot2)
install.packages("usethis")
usethis:edit_r_profile()
library(usethis)
usethis:edit_r_profile()
usethis::edit_r_profile()
options(
usethis.description = list(
`Authors@R` = 'person("jack", "leene", email = "jack@leene.dev", role = c("aut", "cre"))',
License = "MIT + file LICENSE",
Version = "0.0.0.9000"
),
usethis.full_name = "First Last",
usethis.protocol = "https",
vsc.rstudioapi = TRUE,
warnPartialMatchArgs = TRUE,
warnPartialMatchDollar = TRUE,
warnPartialMatchAttr = TRUE
)
if (interactive()) {
suppressMessages(require(devtools))
suppressMessages(require(usethis))
}
p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
library(ggplot2)
library(DT)
library(ggthemes)
library(gapminder)
p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
q<-ggplot(iris,aes(Sepel.Width,Sepal.Length))+geom_line()+theme_tufte()
(p)
theme_tufte()
data(gapminder)
q
theme_tufte()
#gapminder<-gapminder %>%
#  filter(year) %>%
#  arrange(-pop) %>%
#  slice(1:50) %>%
#  mutate(GDP=gdpPercap*Pop)
#Column {data-width=450}
p=datatable((iris))
print(p)
library(ggplot2)
library(DT)
library(ggthemes)
library(gapminder)
p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
q<-ggplot(iris,aes(Sepel.Width,Sepal.Length))+geom_line()+theme_tufte()
p=datatable((iris))
print(p)
(p)
theme_tufte()
#gapminder<-gapminder %>%
#  filter(year) %>%
#  arrange(-pop) %>%
#  slice(1:50) %>%
#  mutate(GDP=gdpPercap*Pop)
#Column {data-width=450}
theme_tufte()
library(ggplot2)
library(DT)
library(ggthemes)
library(gapminder)
p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
q<-ggplot(iris,aes(Sepel.Width,Sepal.Length))+geom_line()+theme_tufte()
p=datatable((iris))
print(p)
(p)
#theme_tufte()
#gapminder<-gapminder %>%
#  filter(year) %>%
#  arrange(-pop) %>%
#  slice(1:50) %>%
#  mutate(GDP=gdpPercap*Pop)
#Column {data-width=450}
table(iris$Species)
usethis::edit_rstudio_snippets("r")
usethis::edit_rstudio_prefs()
usethis::edit_r_profile()
install.packages(c("class", "KernSmooth", "MASS", "nnet"))
mtcars
a<-mtcars
a
nrow(mtcars)
floor(12/4-2)
floor(2:32/4-2)
floor(2:32/4-1)
floor((1:32)/4-1)
floor((1:32)/4)
floor((1:32-1)/4)
a$group=floor((1:32-1)/4)
a
a$group1=mod((1:32-1),4)
((1:32-1)//4)
((1:32-1)\\4)
1\\4
1//4
mod(1,4()
mod(1,4
mod(1,4)
mod(1 %%4)
(1 %% 4)
a$group1=(1:32 %% 4)
a
a$group1=(1:32 %% 4)+1
a$group1=(0:31 %% 4)+1
a$group1=(0:31 %% 4)
a$group1=(1:32 %% 4)
a<-mtcars
floor(12/4-2)
a$group=floor((1:32-1)/4)
a
a$group=floor((1:32-1) %% 4)
a$group=floor((1:32-1)/4)
a$group=floor((1:32-1)/4)
a
a$group2=((1:32-1)%% 4)
a
names(a)
head(a)
ddply(a,.(group,group2),sumc=sum(cyl))
library(tidyverse)
installed.packages("tidyverse")
install.package("tidyverse")
install.packages("tidyverse")
library(tidyverse)
head(a)
ddply(a,.(group,group2),sumc=sum(cyl))
library(dplyr)
ddply(a,.(group,group2),sumc=sum(cyl))
library(dplyr)
ddply(a,.(group,group2),sumc=sum(cyl))
ddplyr(a,.(group,group2),sumc=sum(cyl))
ddply
library(dplyr)
library(plyr)
install.packages("plyr")
library(plyr)
names(a)
ddply(a,.(group,group2),summarize,sumc=sum(cyl),paste(.group,.group2,col="",sep="_")=sum(cyl))
ddply(a,.(group,group2),summarize,sumc=sum(cyl),paste(.group,.group2,col="",sep="_")=sum(cyl))
starwars %>%
select(name, mass, species) %>%
mutate(mass_norm = mass / mean(mass, na.rm = TRUE))
head(a)
a %>% pivot_wider()
?pivot_wider
map(a$group,function(x){sprinft(x)})
map(a$group,function(x){sprinf(x)})
map(a$group,function(x){prinf(x)})
sprintf
map(a$group,prinf(x))
map(a$group,sprinf(x))
map(a$group,sprinfs(x))
help("paste")
map(a$group,paste(x))
map(a$group,paste(.x))
map(a$group,paste(x))
?map
map(a$group,x)
map(a$group,.x)
set_names(c("foo", "bar")) |> map_chr(paste0, ":suffix")
l1 <- list(list(a = 1L), list(a = NULL, b = 2L), list(b = 3L))
ll
l1
l1 |> map("a", .default = "???")
list(num = 1:3,     letters[1:3])
1:10 |>
map(rnorm, n = 10)
1:10 |>
map(\(x) rnorm(10, x))
letters[1:10] |>
map(\(x) sprintf("wafer_%03d",x))
letters[1:10] |>
map(\(int(x)) sprintf("wafer_%03d",x))
letters[1:10] |>
map(int(x) sprintf("wafer_%03d",x))
letters[1:10] |>
map(.x, sprintf("wafer_%03d",x))
letters[1:10] |>
map(x, sprintf("wafer_%03d",x))
letters
letters[1:10]
letters[1:10] |>
map(\x, sprintf("wafer_%03d",x))
letters[1:10] |>
map(\(x), sprintf("wafer_%03d",x))
letters[1:10] |>
map(\x, sprintf("wafer_%03d",x))
letters[1:10] |>
map(x, sprintf("wafer_%03d",x))
[1:10] |>
1:10 |> map(x, sprintf("wafer_%03d",x))
1:10 |> map(x, sprintf("wafer_%03d", x))
1:10 |> map_chr(x, sprintf("wafer_%03d", x))
1:10 |> map_in5(x, sprintf("wafer_%03d", x))
1:10 |> map_int(x, sprintf("wafer_%03d", x))
1:10 |> map(x, sprintf("wafer_%03d", x))
l2 <- list(
list(num = 1:3,     letters[1:3]),
list(num = 101:103, letters[4:6]),
list()
)
l2 |> map(c(2, 2))
l2 |> map(list("num", 3))
l2 |> map_int(list("num", 3), .default = NA)
paste(sprintf("wafer_%03d",1:10))
seq(paste(sprintf("wafer_%03d",1:10)),3)
paste(sprintf("wafer_%03d",seq(1:10,3))
)
paste(sprintf("wafer_%03d",seq(1:10,3))
)
seq(3,1:2)
seq(1:2,2)
seq(1:2,a:b)
seq(a,b)
seq(1,3)
R
which R
setwd("/Users/jackleene/2024-dash_v1")
setwd("/Users/jackleene/2024-dash_v1/data")
a=read_csv("spc_mod.csv")
library(readr)
a=read_csv("spc_mod.csv")
library(arrow)
install.packages("arrow")
install.packages("arrow")
install.packages("sparklyr")
install.packages("sparklyr")
install.packages("arrow")
table(a$timestamp)
install.packages("arrow")
names(a)
class(a)
lapply(a,class)
lapply(a,class)