archivist (version 1.2)

summaryLocalRepo: View the Summary of a Repository

Description

summaryRepo summaries the current state of a Repository.

Usage

summaryLocalRepo(repoDir)

summaryGithubRepo(repo, user, branch = "master", repoDirGit = FALSE)

Arguments

repoDir
A character denoting an existing directory of a Repository for which a summary will be returned.
repo
Only if working with a Github repository. A character containing a name of a Github repository on which the Repository is archived.
user
Only if working with a Github repository. A character containing a name of a Github user on whose account the repo is created.
branch
Only if working with a Github repository. A character containing a name of Github Repository's branch on which a Repository is archived. Default branch is master.
repoDirGit
Only if working with a Github repository. A character containing a name of a directory on Github repository on which the Repository is stored. If the Repository is stored in main folder on Github repository, this should be set to repoDirGit

Value

  • An object of class repository which can be printed: print(object).

Details

summaryRepo summaries the current state of a Repository. Recommended to use print( summaryRepo ) ). See examples.

See Also

Other archivist: Repository; Tags; addTagsRepo; archivist-package; cache; copyGithubRepo, copyLocalRepo; createEmptyRepo; deleteRepo; getTagsGithub, getTagsLocal; loadFromGithubRepo, loadFromLocalRepo; md5hash; multiSearchInGithubRepo, multiSearchInLocalRepo, searchInGithubRepo, searchInLocalRepo; rmFromRepo; saveToRepo; shinySearchInLocalRepo; showGithubRepo, showLocalRepo; zipGithubRepo, zipLocalRepo

Examples

Run this code
# 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)


# lda object
library(MASS)

Iris <- data.frame(rbind(iris3[,,1], iris3[,,2], iris3[,,3]),
                  Sp = rep(c("s","c","v"), rep(50,3)))
train <- c(8,83,115,118,146,82,76,9,70,139,85,59,78,143,68,
           134,148,12,141,101,144,114,41,95,61,128,2,42,37,
           29,77,20,44,98,74,32,27,11,49,52,111,55,48,33,38,
           113,126,24,104,3,66,81,31,39,26,123,18,108,73,50,
           56,54,65,135,84,112,131,60,102,14,120,117,53,138,5)
lda1 <- lda(Sp ~ ., Iris, prior = c(1,1,1)/3, subset = train)

# qda object
tr <- c(7,38,47,43,20,37,44,22,46,49,50,19,4,32,12,29,27,34,2,1,17,13,3,35,36)
train <- rbind(iris3[tr,,1], iris3[tr,,2], iris3[tr,,3])
cl <- factor(c(rep("s",25), rep("c",25), rep("v",25)))
qda1 <- qda(train, cl)

# glmnet object
library( glmnet )

zk=matrix(rnorm(100*20),100,20)
bk=rnorm(100)
glmnet1=glmnet(zk,bk)

# creating example Repository - that examples will work

exampleRepoDir <- tempdir()
createEmptyRepo(repoDir = exampleRepoDir)
saveToRepo(myplot123, repoDir=exampleRepoDir)
saveToRepo(iris, repoDir=exampleRepoDir)
saveToRepo(model, repoDir=exampleRepoDir)

# summary examples

summaryLocalRepo( repoDir = exampleRepoDir )

# let's add more artifacts

saveToRepo(glmnet1, repoDir=exampleRepoDir)
saveToRepo(lda1, repoDir=exampleRepoDir)
(qda1Md5hash <- saveToRepo(qda1, repoDir=exampleRepoDir))

# summary now

summaryLocalRepo( repoDir = exampleRepoDir )

# what if we remove an artifact

rmFromRepo(qda1Md5hash, repoDir = exampleRepoDir)

# summary now

summaryLocalRepo( repoDir = exampleRepoDir )

#
# Github version
#

x <- summaryGithubRepo( user="pbiecek", repo="archivist")
print( x )

# removing an example Repository

deleteRepo( exampleRepoDir )

rm( exampleRepoDir )

# many archivist-like Repositories on one Github repository

summaryGithubRepo(user="MarcinKosinski", repo="Museum",
branch="master", repoDirGit="ex2" )

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