initial commit
This commit is contained in:
parent
e30f54e485
commit
1633b1cca0
290
data/.Rhistory
Normal file
290
data/.Rhistory
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@ -0,0 +1,290 @@
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install.packages("tidyverse")
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install.packages("qcc")
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install.packages("skimr")
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install.packages("rmarkdown")
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x=seq(1,10)
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y=seq(sapply(1:10,random(1,1)))
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?Random
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install.packages(DT)
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install.packages("DT")
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if (!require("DT")) install.packages('DT')
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library(DT)
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?DT
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class(datatable(iris))
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?htmlwidget
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??htmlwidget
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install.packages("palletteer")
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install.packages("paletteer")
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install.packages("gapminder")
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install.packages("ggthemes")
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install.packages("collapsebleTree")
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devtools::install_github("AdeelK93/collapsibleTree")
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install.packages("devtools")
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devtools::install_github("AdeelK93/collapsibleTree")
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install.packages("ggthemes")
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names(iris)
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?theme_tufte()
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names(iris)
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library(gapminder)
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attach(gapminder)
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gapminder<-gapminder %>%
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filter(year) %>%
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arrange(-pop) %>%
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slice(1:50) %>%
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mutate(GDP=gdpPercap*Pop)
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library(dplyr)
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gapminder<-gapminder %>%
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filter(year) %>%
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arrange(-pop) %>%
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slice(1:50) %>%
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mutate(GDP=gdpPercap*Pop)
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rlang::last_error
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rlang::last_error()
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names(gapminder)
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table(gapminder$year)
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class(gapminder$year)
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library(usethis)
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library(ggplot2)
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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"))
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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"))
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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"))
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yes
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library(ggplot2)
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install.packages("usethis")
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usethis:edit_r_profile()
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library(usethis)
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usethis:edit_r_profile()
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usethis::edit_r_profile()
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options(
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usethis.description = list(
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`Authors@R` = 'person("jack", "leene", email = "jack@leene.dev", role = c("aut", "cre"))',
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License = "MIT + file LICENSE",
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Version = "0.0.0.9000"
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),
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usethis.full_name = "First Last",
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usethis.protocol = "https",
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vsc.rstudioapi = TRUE,
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warnPartialMatchArgs = TRUE,
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warnPartialMatchDollar = TRUE,
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warnPartialMatchAttr = TRUE
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)
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if (interactive()) {
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suppressMessages(require(devtools))
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suppressMessages(require(usethis))
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}
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p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
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p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
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p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
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library(ggplot2)
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library(DT)
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library(ggthemes)
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library(gapminder)
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p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
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q<-ggplot(iris,aes(Sepel.Width,Sepal.Length))+geom_line()+theme_tufte()
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(p)
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theme_tufte()
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data(gapminder)
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q
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theme_tufte()
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#gapminder<-gapminder %>%
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# filter(year) %>%
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# arrange(-pop) %>%
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# slice(1:50) %>%
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# mutate(GDP=gdpPercap*Pop)
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#Column {data-width=450}
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p=datatable((iris))
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print(p)
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library(ggplot2)
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library(DT)
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library(ggthemes)
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library(gapminder)
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p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
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q<-ggplot(iris,aes(Sepel.Width,Sepal.Length))+geom_line()+theme_tufte()
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p=datatable((iris))
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print(p)
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(p)
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theme_tufte()
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#gapminder<-gapminder %>%
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# filter(year) %>%
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# arrange(-pop) %>%
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# slice(1:50) %>%
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# mutate(GDP=gdpPercap*Pop)
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#Column {data-width=450}
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theme_tufte()
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library(ggplot2)
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library(DT)
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library(ggthemes)
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library(gapminder)
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p<-ggplot(iris,aes(Sepal.Length,Sepal.Width))+geom_line()
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q<-ggplot(iris,aes(Sepel.Width,Sepal.Length))+geom_line()+theme_tufte()
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p=datatable((iris))
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print(p)
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(p)
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#theme_tufte()
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#gapminder<-gapminder %>%
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# filter(year) %>%
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# arrange(-pop) %>%
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# slice(1:50) %>%
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# mutate(GDP=gdpPercap*Pop)
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#Column {data-width=450}
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table(iris$Species)
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usethis::edit_rstudio_snippets("r")
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usethis::edit_rstudio_prefs()
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usethis::edit_r_profile()
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install.packages(c("class", "KernSmooth", "MASS", "nnet"))
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mtcars
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a<-mtcars
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a
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nrow(mtcars)
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floor(12/4-2)
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floor(2:32/4-2)
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floor(2:32/4-1)
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floor((1:32)/4-1)
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floor((1:32)/4)
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floor((1:32-1)/4)
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a$group=floor((1:32-1)/4)
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a
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a$group1=mod((1:32-1),4)
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((1:32-1)//4)
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((1:32-1)\\4)
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1\\4
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1//4
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mod(1,4()
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mod(1,4
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mod(1,4)
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mod(1 %%4)
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(1 %% 4)
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a$group1=(1:32 %% 4)
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a
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a$group1=(1:32 %% 4)+1
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a$group1=(0:31 %% 4)+1
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a$group1=(0:31 %% 4)
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a$group1=(1:32 %% 4)
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a<-mtcars
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floor(12/4-2)
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a$group=floor((1:32-1)/4)
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a
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a$group=floor((1:32-1) %% 4)
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a$group=floor((1:32-1)/4)
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a$group=floor((1:32-1)/4)
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a
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a$group2=((1:32-1)%% 4)
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a
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names(a)
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head(a)
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ddply(a,.(group,group2),sumc=sum(cyl))
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library(tidyverse)
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installed.packages("tidyverse")
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install.package("tidyverse")
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install.packages("tidyverse")
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library(tidyverse)
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head(a)
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ddply(a,.(group,group2),sumc=sum(cyl))
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library(dplyr)
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ddply(a,.(group,group2),sumc=sum(cyl))
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library(dplyr)
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ddply(a,.(group,group2),sumc=sum(cyl))
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ddplyr(a,.(group,group2),sumc=sum(cyl))
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ddply
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library(dplyr)
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library(plyr)
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install.packages("plyr")
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library(plyr)
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names(a)
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ddply(a,.(group,group2),summarize,sumc=sum(cyl),paste(.group,.group2,col="",sep="_")=sum(cyl))
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ddply(a,.(group,group2),summarize,sumc=sum(cyl),paste(.group,.group2,col="",sep="_")=sum(cyl))
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starwars %>%
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select(name, mass, species) %>%
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mutate(mass_norm = mass / mean(mass, na.rm = TRUE))
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head(a)
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a %>% pivot_wider()
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?pivot_wider
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map(a$group,function(x){sprinft(x)})
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map(a$group,function(x){sprinf(x)})
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map(a$group,function(x){prinf(x)})
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sprintf
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map(a$group,prinf(x))
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map(a$group,sprinf(x))
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map(a$group,sprinfs(x))
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help("paste")
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map(a$group,paste(x))
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map(a$group,paste(.x))
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map(a$group,paste(x))
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?map
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map(a$group,x)
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map(a$group,.x)
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set_names(c("foo", "bar")) |> map_chr(paste0, ":suffix")
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l1 <- list(list(a = 1L), list(a = NULL, b = 2L), list(b = 3L))
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ll
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l1
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l1 |> map("a", .default = "???")
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list(num = 1:3, letters[1:3])
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1:10 |>
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map(rnorm, n = 10)
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1:10 |>
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map(\(x) rnorm(10, x))
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letters[1:10] |>
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map(\(x) sprintf("wafer_%03d",x))
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letters[1:10] |>
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map(\(int(x)) sprintf("wafer_%03d",x))
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letters[1:10] |>
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map(int(x) sprintf("wafer_%03d",x))
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letters[1:10] |>
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map(.x, sprintf("wafer_%03d",x))
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letters[1:10] |>
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map(x, sprintf("wafer_%03d",x))
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letters
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letters[1:10]
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letters[1:10] |>
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map(\x, sprintf("wafer_%03d",x))
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letters[1:10] |>
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map(\(x), sprintf("wafer_%03d",x))
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letters[1:10] |>
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map(\x, sprintf("wafer_%03d",x))
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letters[1:10] |>
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map(x, sprintf("wafer_%03d",x))
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[1:10] |>
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1:10 |> map(x, sprintf("wafer_%03d",x))
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1:10 |> map(x, sprintf("wafer_%03d", x))
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1:10 |> map_chr(x, sprintf("wafer_%03d", x))
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1:10 |> map_in5(x, sprintf("wafer_%03d", x))
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1:10 |> map_int(x, sprintf("wafer_%03d", x))
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1:10 |> map(x, sprintf("wafer_%03d", x))
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l2 <- list(
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list(num = 1:3, letters[1:3]),
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list(num = 101:103, letters[4:6]),
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list()
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)
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l2 |> map(c(2, 2))
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l2 |> map(list("num", 3))
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l2 |> map_int(list("num", 3), .default = NA)
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paste(sprintf("wafer_%03d",1:10))
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seq(paste(sprintf("wafer_%03d",1:10)),3)
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paste(sprintf("wafer_%03d",seq(1:10,3))
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)
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paste(sprintf("wafer_%03d",seq(1:10,3))
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)
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seq(3,1:2)
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seq(1:2,2)
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seq(1:2,a:b)
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seq(a,b)
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seq(1,3)
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R
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which R
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setwd("/Users/jackleene/2024-dash_v1")
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setwd("/Users/jackleene/2024-dash_v1/data")
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a=read_csv("spc_mod.csv")
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library(readr)
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a=read_csv("spc_mod.csv")
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library(arrow)
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install.packages("arrow")
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install.packages("arrow")
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install.packages("sparklyr")
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install.packages("sparklyr")
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install.packages("arrow")
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table(a$timestamp)
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install.packages("arrow")
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names(a)
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class(a)
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lapply(a,class)
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lapply(a,class)
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16
poetry.lock
generated
16
poetry.lock
generated
@ -244,6 +244,20 @@ files = [
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{file = "dash_core_components-2.0.0.tar.gz", hash = "sha256:c6733874af975e552f95a1398a16c2ee7df14ce43fa60bb3718a3c6e0b63ffee"},
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]
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[[package]]
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name = "dash-daq"
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version = "0.5.0"
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description = "DAQ components for Dash"
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category = "main"
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optional = false
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python-versions = "*"
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files = [
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{file = "dash_daq-0.5.0.tar.gz", hash = "sha256:a1d85b6799f7b885652fbc44aebdb58c41254616a8d350b943beeb42ade4256a"},
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]
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[package.dependencies]
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dash = ">=1.6.1"
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[[package]]
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name = "dash-html-components"
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version = "2.0.0"
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@ -901,4 +915,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
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[metadata]
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lock-version = "2.0"
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python-versions = "^3.11"
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content-hash = "209b9534df1cea182a044844896ee039f12a6dccb440af3c4e1f498ba15325ec"
|
||||
content-hash = "aec3b7eae4106cf6a3129ef080da73c29c6c87cdce2ad8daa07863e6530a583b"
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@ -12,6 +12,7 @@ dash = "^2.14.2"
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pydantic = "^2.5.3"
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dash-bootstrap-components = "^1.5.0"
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pandas = "^2.1.4"
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dash-daq = "^0.5.0"
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[build-system]
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@ -30,16 +30,7 @@ class spc_DataSchema:
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timestamp ="date"
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class DataSchema:
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AMOUNT = "amount"
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CATEGORY = "category"
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DATE = "date"
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MONTH = "month"
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YEAR = "year"
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def load_spc_data(path: str) -> pd.DataFrame:
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def load_eventlog_data(path: str) -> pd.DataFrame:
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# load the data from the CSV file
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data = pd.read_csv(
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path,
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|
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