# objects preparation
# data.frame object
data(iris)
# ggplot/gg object
library(ggplot2)
df <- data.frame(gp = factor(rep(letters[1:3], each = 10)),y = rnorm(30))
library(plyr)
ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))
myplot123 <- ggplot(df, aes(x = gp, y = y)) +
geom_point() + geom_point(data = ds, aes(y = mean),
colour = 'red', size = 3)
# lm object
model <- lm(Sepal.Length~ Sepal.Width + Petal.Length + Petal.Width, data= iris)
# Local version
exampleRepoDir <- tempdir()
createEmptyRepo( repoDir = exampleRepoDir )
saveToRepo( myplot123, repoDir=exampleRepoDir )
saveToRepo( iris, repoDir=exampleRepoDir )
saveToRepo( model, repoDir=exampleRepoDir )
zipLocalRepo( exampleRepoDir )
deleteRepo( exampleRepoDir )
rm( exampleRepoDir )
# Github version
zipGithubRepo( user="MarcinKosinski",
repo="Museum", branch="master", repoDirGit="ex1" )
zipGithubRepo( user="pbiecek", repo="archivist", repoTo = getwd( ) )
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