Package 'sos' reference manual

Title:	Search Contributed R Packages, Sort by Package
Description:	Search contributed R packages, sort by package.
Authors:	Spencer Graves [cre, aut, cph], Sundar Dorai-Raj [aut], and Romain Francois [ctb]
Maintainer:	Spencer Graves <[email protected]>
License:	GPL (>= 2)
Version:	2.1-8
Built:	2024-09-28 07:29:04 UTC
Source:	CRAN

Replace backslash with forward slash in a character string

Description

scan a character string with backslash as the quote character and return it with backslashes replaced by forward slash.

NOTE: 'c:\User' cannot be assigned to a character variable, because '\U' must be followed by a hexadecimal number, and 's' is not a legal hexadecimal digit. Therefore, we read the character string of interest using scan rather than assigning it to a function argument.

Usage

back2ForwardSlash(nmax=1, what=character(), 
      sep='\n', ...)
back2ForwardSlash(nmax=1, what=character(), 
      sep='\n', ...)

Arguments

nmax, what, sep, ...

arguments passed to scan

Details

It's not easy to turn a back slash into a forward slash, because R interprets the back slash as an escape character. back2ForwardSlash tells R to read the next nmax lines, replacing '\' with '/'.

Value

character vector with backslashes replaced by forward slashes.

Author(s)

Spencer Graves with help from Richard Cotton and Garrett See.

Examples


(x <- back2ForwardSlash())
#c:\users\

#NOTE:  The "#" in this example is not needed.
# It is included here to suppress a spurious warning
# in the automated testing of the package via "R CMD check".


all.equal(x, '#c:/users/')


(x2. <- back2ForwardSlash(2))
#c:\u\a b\n o
#d:\pqr\


all.equal(x2., c('#c:/u/a b/n o', '#d:/pqr/'))



(x <- back2ForwardSlash())
#c:\users\

#NOTE:  The "#" in this example is not needed.
# It is included here to suppress a spurious warning
# in the automated testing of the package via "R CMD check".


all.equal(x, '#c:/users/')


(x2. <- back2ForwardSlash(2))
#c:\u\a b\n o
#d:\pqr\


all.equal(x2., c('#c:/u/a b/n o', '#d:/pqr/'))

Test if running as CRAN

Description

This function allows package developers to run tests themselves that should not run on CRAN or with "R CMD check --as-cran" because of compute time constraints with CRAN tests.

Usage

CRAN(CRAN_pattern, n_R_CHECK4CRAN)
CRAN(CRAN_pattern, n_R_CHECK4CRAN)

Arguments

`CRAN_pattern`	a regular expressions to apply to the names of `Sys.getenv()` to identify possible `CRAN` parameters. Defaults to `Sys.getenv('_CRAN_pattern_')` if available and `'^_R_'` if not.
`n_R_CHECK4CRAN`	Assume this is `CRAN` if at least `n_R_CHECK4CRAN` elements of `Sys.getenv()` have names matching x. Defaults to `Sys.getenv('_n_R_CHECK4CRAN_')` if available and 5 if not.

Details

The "Writing R Extensions" manual says that "R CMD check" can be customized "by setting environment variables _R_CHECK_*_:, as described in" the Tools section of the "R Internals" manual.

'R CMD check' was tested with R 3.0.1 under Fedora 18 Linux and with Rtools 3.0 from April 16, 2013 under Windows 7. With the '--as-cran' option, 7 matches were found; without it, only 3 were found. These numbers were unaffected by the presence or absence of the '–timings' parameter. On this basis, the default value of n_R_CHECK4CRAN was set at 5.

1. x. <- Sys.getenv()

2. Fix CRAN_pattern and n_R_CHECK4CRAN if missing.

3. Let i be the indices of x. whose names match all the patterns in the vector x.

4. Assume this is CRAN if length(i) >= n_R_CHECK4CRAN.

Value

a logical scalar with attributes 'Sys.getenv' containing the results of Sys.getenv() and 'matches' containing i per step 3 above.

Author(s)

Spencer Graves (copied from the fda package)

Examples

cran <- CRAN()
str(cran)
gete <- attr(cran, 'Sys.getenv')
(ngete <- names(gete))

iget <- grep('^_', names(gete))
gete[iget]

#\dontrun is sometimes run on CRAN.  See
#https://github.com/ThinkR-open/prepare-for-cran
#accessed 2021-06-14
if (interactive()) {
if(CRAN()){
  stop('CRAN')
} else {
  stop('NOT CRAN')
}
}
cran <- CRAN()
str(cran)
gete <- attr(cran, 'Sys.getenv')
(ngete <- names(gete))

iget <- grep('^_', names(gete))
gete[iget]

#\dontrun is sometimes run on CRAN.  See
#https://github.com/ThinkR-open/prepare-for-cran
#accessed 2021-06-14
if (interactive()) {
if(CRAN()){
  stop('CRAN')
} else {
  stop('NOT CRAN')
}
}

Subset a findFn object

Description

Extract rows from a findFn object

Usage

## S3 method for class 'findFn'
x[i, j,
    drop = 
    if (missing(i)) TRUE else length(j) == 1]
## S3 method for class 'findFn'
x[i, j,
    drop = 
    if (missing(i)) TRUE else length(j) == 1]

Arguments

`x`	An object of class `findFn`
`i`	a valid object to select rows of `x`, e.g., a vector of all positive integers or all negative integers between 1 and `nrow(x)` or a logical vector of length `nrow(x)`.
`j`	If not missing, the extraction function returns an object of class `data.frame` rather than `findFn`.
`drop`	logical: if `FALSE` and `j` selects only one column, return that column as a vector; else return a `data.frame` if `j` is present or a `findFn` object otherwise.

Details

1. if(missing(j)) extract the subset with the PackageSummary attribute recomputed on the subset.

2. else return(Extract.data.frame(x, i, j, drop))

Value

If j is missing, return an object of class c('findFn', 'data.frame') else return whatever is returned by Extract.data.frame.

Author(s)

Spencer Graves

Examples

  z <- try(findFn("spline", maxPages = 2))
  
  if(!inherits(z, "try-error")){
# one row
  z1 <- z[1,]

# one column 
  z.2 <- z[, 2]
# 
  z.2a <- z[2]
  
    all.equal(z.2, z.2a)
  
# data.frame with one column
  z.2d <- z[, 2, drop=FALSE]
  }
z <- try(findFn("spline", maxPages = 2))
  
  if(!inherits(z, "try-error")){
# one row
  z1 <- z[1,]

# one column 
  z.2 <- z[, 2]
# 
  z.2a <- z[2]
  
    all.equal(z.2, z.2a)
  
# data.frame with one column
  z.2d <- z[, 2, drop=FALSE]
  }

Search Help Pages

Description

Returns a data.frame from RSiteSearch(string, "function") which can be sorted and subsetted by user specifications and viewed in an HTML table. The default sort puts first packages with the most matches (Count), with ties broken using the sum of the match scores for all the hits in that package (TotalScore), etc.

Usage

findFn(string, maxPages = 100, sortby = NULL, 
        verbose = 1, ...)
findFn(string, maxPages = 100, sortby = NULL, 
        verbose = 1, ...)

Arguments

`string`	A character string. See `RSiteSearch`.
`maxPages`	The maximum number of pages to download assuming 20 links per page.
`sortby`	a character vector specifying how the `data.frame` returned should be sorted. Default = `c('Count', 'MaxScore', 'TotalScore', 'Package', 'Score', 'Function')` to sort descending on numerics and ascending on alphanumerics. Specifying `sortby` = `c('c', 't', 'm')` is equivalent to `c('Count', 'TotalScore', 'MaxScore', 'Package', 'Score', 'Function')`.
`verbose`	an integer: if 0, no output is printed to the console. The default 1 displays an initial line with the number of pages to be retrieved and the number of matches obtained; if the number of matches to be downloaded is less, this also is displayed on the initial line. This is followed by a second line counting the pages downloaded. If greater than 1, additional information is provided on the download process.
`...`	ignored

Details

findFn searches the help pages of packages covered by the RSiteSearch archives. To restrict the search to only packages installed locally, use help.search.

1. Access the RSiteSearch engine with string, restricting to "functions", storing Score, Package, Function, Date, Description, and Link in a data.frame.

2. Compute Count, MaxScore and TotalScore for each Package accessed. Combine them in a matrix PackageSummary.

3. Sort PackageSummary in the order defined by the occurrence of c('Count', 'MaxScore', 'TotalScore', 'Package') in sortby.

4. Merge PackageSummary with the data.frame of search matches.

5. Sort the combined data.frame as defined by sort..

6. Make the result have class c("findFn", "data.frame") and add attributes matches, PackageSummary, string, and call.

7. Done.

Value

an object of class c('findFn', 'data.frame') with columns and attributes as follows:

Columns

Count Total number of matches downloaded in this package
MaxScore maximum of the Score over all help pages selected within each Package. See Score below or the Namazu website (link below) for more information on how the score is determined.
TotalScore sum of the Score over all help pages selected within each Package. See Score below or the Namazu website (link below) for more information on how the score is determined.
Package Name of the package containing a help page meeting the search criteria
Function Name of the help page found that meets the indicated search criterion.
Date Date of the help page
Score Score returned by RSiteSearch, discussed in the Namazu website (link below).
Description Title of the help page
Link Universal Resource Locator (URL) for the help page

Attributes

matches an integer = total number of matches found by the search. This typically will exceed the number of rows found, because the search algorithm sometimes finds things that are not help pages for packages.
PackageSummary a data.frame with one row for each package and columns Package, Count, MaxScore, TotalScore, and Date, sorted as in the sort. argument.
string the string argument in the call.
call the matched call

Author(s)

Spencer Graves, Sundar Dorai-Raj, Romain Francois. Duncan Murdoch suggested the "???" alias for findFn and contributed the code for it.

Special thanks to Gennadiy Starostin, Vienna University of Economics and Business (Wirtschaftsuniversitaet Wien), who in early 2021 took over maintenance of the RSiteSearch data base, updated its structure, and rewrote findFn to match.

Special thanks to Jonathan Baron, and Andy Liaw. Baron maintained the RSiteSearch data base for many years. Liaw and Baron created the RSiteSearch function in the utils package. Thanks also to Patrice Kiener of 'InModelia' in Paris, France, who helped me fix some syntax problems stemming from changes in how an itemized list is described in a *.Rd file.

References

http://www.namazu.org/doc/tips.html.en#weight - reference on determining Score

Examples

# Skip these tests on CRAN,
# because they take more than 5 seconds
if(!CRAN()){

z <- try(findFn("spline", maxPages = 2))
# alternative
zq <- try(???spline(2))

# Confirm z == zq except for 'call' 
  attr(z, 'call') <- NULL
  attr(zq, 'call') <- NULL

if(!(inherits(z, "try-error") ||
     inherits(zq, "try-error"))){


all.equal(z, zq)


# To search for 2 terms, not necessarily together:
RSS <- try(findFn('RSiteSearch function', 1))
matches(RSS)

# To search for an exact string, use braces:
RSS. <- try(findFn('{RSiteSearch function}', 1))
matches(RSS.) # list(nrow = 0, matches = 0)

# example in which resulting page has some unicode characters
Lambert <- try(findFn("Lambert"))
Lambert

# Example that "found  2  link(s) without dates" on 2021-06-26
webScr <- try(findFn('web scraping'))

# Example that "found 0 matches" on 2021-09-06
try(findFn('{open history map}'))
}
}
# Skip these tests on CRAN,
# because they take more than 5 seconds
if(!CRAN()){

z <- try(findFn("spline", maxPages = 2))
# alternative
zq <- try(???spline(2))

# Confirm z == zq except for 'call' 
  attr(z, 'call') <- NULL
  attr(zq, 'call') <- NULL

if(!(inherits(z, "try-error") ||
     inherits(zq, "try-error"))){


all.equal(z, zq)


# To search for 2 terms, not necessarily together:
RSS <- try(findFn('RSiteSearch function', 1))
matches(RSS)

# To search for an exact string, use braces:
RSS. <- try(findFn('{RSiteSearch function}', 1))
matches(RSS.) # list(nrow = 0, matches = 0)

# example in which resulting page has some unicode characters
Lambert <- try(findFn("Lambert"))
Lambert

# Example that "found  2  link(s) without dates" on 2021-06-26
webScr <- try(findFn('web scraping'))

# Example that "found 0 matches" on 2021-09-06
try(findFn('{open history map}'))
}
}

Match pattern in a column of a matrix or data.frame

Description

Search for pattern in a column of a matrix or data.frame using grep. If value = TRUE (the default), return the selected subset of x.

Usage

grepFn(pattern, x, column='Function', ignore.case=FALSE,
       perl=FALSE, value=TRUE, fixed=FALSE,
       useBytes=FALSE, invert=FALSE)
grepFn(pattern, x, column='Function', ignore.case=FALSE,
       perl=FALSE, value=TRUE, fixed=FALSE,
       useBytes=FALSE, invert=FALSE)

Arguments

`x`	a matrix or data.frame containing a column named `column`.
`pattern`, `ignore.case`, `perl`, `fixed`, `useBytes`, `invert`	as for `grep`
`column`	character string giving the column of `x` in which to search for `pattern`.
`value`	logical: If TRUE, return the selected subset of `x`. If FALSE, return the row numbers returned by `grep`.

Details

1. g <- grep(pattern, x[, column])

2. if(value)return(x[g, ]) else return(g)

Value

If(value) return an object of the same class as x containing those rows of x with x[, column] matching pattern.

Else, return an integer vector identifying the rows of x with x[, column] matching pattern.

Author(s)

Spencer Graves, Sundar Dorai-Raj

Examples

z <- cbind(a=1:2, Function=c('s', 'spline'))
z. <- grepFn("spline", z)


all.equal(z., z[2,,drop=FALSE])

z <- cbind(a=1:2, Function=c('s', 'spline'))
z. <- grepFn("spline", z)


all.equal(z., z[2,,drop=FALSE])

matches attribute of a findFn object

Description

Returns the matches attribute of a findFn object. For the output of findFn, this is the number of matches for the search term. For a findFn object returned by unionFindFn or intersectFindFn, this is a numeric vector if the matches attributes of the arguments to unionFindFn or intersectFindFn.

Usage

matches(x)
hits(x)
matches(x)
hits(x)

Arguments

`x`	object of class `findFn`.

Details

nrow(x) attr(x, 'matches')

Value

a list with components nrows and matches

Author(s)

Spencer Graves

Examples

des1 <- try(findFn('differential equations', 1))

if(inherits(des1, 'try-error')){
des1. <- matches(des1)
des. <- list(nrow=nrow(des1), matches=attr(des1, 'matches'))

all.equal(des1., des.)

}
des1 <- try(findFn('differential equations', 1))

if(inherits(des1, 'try-error')){
des1. <- matches(des1)
des. <- list(nrow=nrow(des1), matches=attr(des1, 'matches'))

all.equal(des1., des.)

}

install packages with minimum count

Description

Ensure that the most important packages in x are installed. "Importance" here is defined in the description of the minCount argument below.

Usage


installPackages(x, minCount, ...)
## S3 method for class 'findFn'
installPackages(x, minCount, ...) 
## S3 method for class 'packageSum'
installPackages(x, minCount, 
              repos = getOption("repos"), ...)
installPackages(x, minCount, ...)
## S3 method for class 'findFn'
installPackages(x, minCount, ...) 
## S3 method for class 'packageSum'
installPackages(x, minCount, 
              repos = getOption("repos"), ...)

Arguments

`x`	either a character vector to be passed to `install.packages` or a `findFn` or a `packageSum` object
`minCount`	Controls how many of the packages identified in `x` to pass to `install.packages`. If `x` is a `findFn` or `packageSum` object, install every `x[, 'Package']` with `x[, 'Count']` >= `minCount`. By default, `minCount` = `sqrt(x[1, 'Count'])`.
`repos`	argument passed to `install.packages`
`...`	optional arguments passed to `install.packages`

Details

Functions PackageSum2 and packageSum obtain some of the information displayed from installed packages. To get more information in those summaries, run installPackages on a findFn or packageSum object to install more of the packages found.

Value

none

Author(s)

Spencer Graves

Examples

##
## 1.  findFn object
##
spl <- try(findFn("spline", maxPages = 2))

if(!inherits(spl, "try-error")){
# check the code but do not install anything:
installPackages(spl, minCount=spl[1, 'Count']+1)

# default: install packages with 
# Count>=minCount
#\dontrun is sometimes run on CRAN.  See
#https://github.com/ThinkR-open/prepare-for-cran
#accessed 2021-06-14
if (interactive()) {
installPackages(spl)
}

##
## 2.  packageSum object
##

splS <- packageSum(spl)
# check the code but do not install anything:
installPackages(splS, splS[1, 'Count']+1)

# install ALL packages
if (interactive()) {
installPackages(splS, 1)
}
}
##
## 1.  findFn object
##
spl <- try(findFn("spline", maxPages = 2))

if(!inherits(spl, "try-error")){
# check the code but do not install anything:
installPackages(spl, minCount=spl[1, 'Count']+1)

# default: install packages with 
# Count>=minCount
#\dontrun is sometimes run on CRAN.  See
#https://github.com/ThinkR-open/prepare-for-cran
#accessed 2021-06-14
if (interactive()) {
installPackages(spl)
}

##
## 2.  packageSum object
##

splS <- packageSum(spl)
# check the code but do not install anything:
installPackages(splS, splS[1, 'Count']+1)

# install ALL packages
if (interactive()) {
installPackages(splS, 1)
}
}

Add Info from Installed Packages to PackageSummary

Description

Obtain a summary by package of a findFn object give it class packageSum.

This is a simple function, first calling PackageSum2, than assigning class packagesum to it.

Usage

packageSum(x,
    fields=c("Title", "Version", "Author",
      "Maintainer", "Packaged", 'helpPages',
      'vignette', 'URL'), 
    lib.loc=NULL, ...)
## S3 method for class 'findFn'
packageSum(x,
    fields=c("Title", "Version", "Author",
      "Maintainer", "Packaged", 'helpPages',
      'vignette', 'URL'), 
    lib.loc=NULL, ...)
## S3 method for class 'data.frame'
packageSum(x,
    fields=c("Title", "Version", "Author",
      "Maintainer", "Packaged", 'helpPages',
      'vignette', 'URL'), 
    lib.loc=NULL, ...)
## S3 method for class 'list'
packageSum(x,
    fields=c("Title", "Version", "Author",
      "Maintainer", "Packaged", 'helpPages',
      'vignette', 'URL'), 
    lib.loc=NULL, ...)
packageSum(x,
    fields=c("Title", "Version", "Author",
      "Maintainer", "Packaged", 'helpPages',
      'vignette', 'URL'), 
    lib.loc=NULL, ...)
## S3 method for class 'findFn'
packageSum(x,
    fields=c("Title", "Version", "Author",
      "Maintainer", "Packaged", 'helpPages',
      'vignette', 'URL'), 
    lib.loc=NULL, ...)
## S3 method for class 'data.frame'
packageSum(x,
    fields=c("Title", "Version", "Author",
      "Maintainer", "Packaged", 'helpPages',
      'vignette', 'URL'), 
    lib.loc=NULL, ...)
## S3 method for class 'list'
packageSum(x,
    fields=c("Title", "Version", "Author",
      "Maintainer", "Packaged", 'helpPages',
      'vignette', 'URL'), 
    lib.loc=NULL, ...)

Arguments

`x`	a data.frame with columns `Package` and `Score`.
`fields`	character vector of names of columns to add to `x`. The function first looks in the components of `packageDescription(x$Package[i])`. `vignette` is obtained via the function of that name. Component `Packaged` receives special treatment. If present, only the portion preceding ';' will be retained. This seems to be a time stamp automatically generated by something like `R CMD build`. It is absent for packages automatically loaded when R is started. In such cases, the third component of `strsplit(packageDescription( x$Package[i])$Built, ..., ';')` will be stored as `Packaged`. This seems to be a time stamp automatically generated by something like `R CMD INSTALL --build`.
`lib.loc`	an optional `lib.loc` argument passed to `packageDescription`.
`...`	additional arguments (currently unused)

Details

With an object of class findFn, call PackageSum2, then make it class packageSum.

If less than half of the package reference are installed, it prints a note suggesting the user call installPackages, because much of the information is obtained from the packages' DESCRIPTION file.

Value

a data.frame of class c('packageSum', 'data.frame').

Author(s)

Spencer Graves

Examples

##
## data.frame method
##
tstdf <- data.frame(Package=c('grid', 'base'), 
            stringsAsFactors=FALSE)
tst2 <- packageSum(tstdf)

##
## list method
##
tstList <- list(PackageSummary=tstdf)


all.equal(tst2, packageSum(tstList))

##
## findFn method
##
tst.findFn <- data.frame(
    Package=c('grid', 'base')[c(1,1,2)], 
    Score=2:4, Date=LETTERS[1:3], stringsAsFactors=FALSE)
attr(tst.findFn, 'PackageSummary') <- 
    PackageSummary(tst.findFn)
class(tst.findFn) <- c('findFn', 'data.frame')
tst2. <- packageSum(tst.findFn)


all.equal(tst2, tst2.[names(tst2)])

##
## spline example 
##
splineHelp <- findFn("spline", maxPages = 2)
splinePkgs <- packageSum(splineHelp)
##
## data.frame method
##
tstdf <- data.frame(Package=c('grid', 'base'), 
            stringsAsFactors=FALSE)
tst2 <- packageSum(tstdf)

##
## list method
##
tstList <- list(PackageSummary=tstdf)


all.equal(tst2, packageSum(tstList))

##
## findFn method
##
tst.findFn <- data.frame(
    Package=c('grid', 'base')[c(1,1,2)], 
    Score=2:4, Date=LETTERS[1:3], stringsAsFactors=FALSE)
attr(tst.findFn, 'PackageSummary') <- 
    PackageSummary(tst.findFn)
class(tst.findFn) <- c('findFn', 'data.frame')
tst2. <- packageSum(tst.findFn)


all.equal(tst2, tst2.[names(tst2)])

##
## spline example 
##
splineHelp <- findFn("spline", maxPages = 2)
splinePkgs <- packageSum(splineHelp)

Add Info from Installed Packages to PackageSummary

Description

Add information on installed packages to the PackageSummary of a findFn object.

Usage

PackageSum2(x,
    fields=c("Title", "Version", "Author", "Maintainer", 
      "Packaged", 'helpPages', 'vignette', 'URL'), 
        lib.loc=NULL, ...)
## S3 method for class 'findFn'
PackageSum2(x,
    fields=c("Title", "Version", "Author", "Maintainer",
      "Packaged", 'helpPages', 'vignette', 'URL'), 
        lib.loc=NULL, ...)
## S3 method for class 'data.frame'
PackageSum2(x,
    fields=c("Title", "Version", "Author", "Maintainer",
      "Packaged", 'helpPages', 'vignette', 'URL'), 
        lib.loc=NULL, ...)
## S3 method for class 'list'
PackageSum2(x,
    fields=c("Title", "Version", "Author", "Maintainer",
      "Packaged", 'helpPages', 'vignette', 'URL'), 
        lib.loc=NULL, ...)
PackageSum2(x,
    fields=c("Title", "Version", "Author", "Maintainer", 
      "Packaged", 'helpPages', 'vignette', 'URL'), 
        lib.loc=NULL, ...)
## S3 method for class 'findFn'
PackageSum2(x,
    fields=c("Title", "Version", "Author", "Maintainer",
      "Packaged", 'helpPages', 'vignette', 'URL'), 
        lib.loc=NULL, ...)
## S3 method for class 'data.frame'
PackageSum2(x,
    fields=c("Title", "Version", "Author", "Maintainer",
      "Packaged", 'helpPages', 'vignette', 'URL'), 
        lib.loc=NULL, ...)
## S3 method for class 'list'
PackageSum2(x,
    fields=c("Title", "Version", "Author", "Maintainer",
      "Packaged", 'helpPages', 'vignette', 'URL'), 
        lib.loc=NULL, ...)

Arguments

`x`	a data.frame with columns `Package` and `Score`.
`fields`	character vector of names of columns to add to `x`. The function first looks in the components of `packageDescription(x$Package[i])`. 'vignette' is obtained via the function of that name. Component 'Packaged' receives special treatment. If present, only the portion preceding ';' will be retained. This seems to be a time stamp automatically generated by something like `R CMD build`. It is absent for packages automatically loaded when R is started. In such cases, the third component of `strsplit(packageDescription( x$Package[i])$Built, ..., ';')` will be stored as 'Packaged'. This seems to be a time stamp automatically generated by something like `R CMD INSTALL --build`.
`lib.loc`	an optional `lib.loc` argument passed to `packageDescription`.
`...`	additional arguments (currently unused)

Details

With an object of class findFn, extract the PackageSummary attribute and pass it to the data.frame method.

With an object of class list, extract the PackageSummary component and pass it to the data.frame method.

For a data.frame that is not an findFn object, add other columns from attributes of packageDescription for installed packages named in the column Package. Also, for any packages that are installed, replace the Date with the Packaged date. The Date in Baron's RSiteSearch database is the date of acquisition, which will typically be more recent than the Packaged date provided the locally installed package has the same version as that in Baron's database. To get the best information from PackageSum2, it is wise to first run both installPackages to ensure that the packages of greatest interest are installed locally and update.packages() to make sure you have the latest versions installed locally. Similarly, if PackageSum2 does not contain complete interest on a package of interest, this can be fixed by installing the package and rerunning PackageSum2.

Value

a data.frame with additional fields columns appended to a PackageSummary data.frame.

Author(s)

Spencer Graves

Examples

##
## data.frame method
##
Tstdf <- data.frame(Package=c('grid', 'base'), 
            stringsAsFactors=FALSE)
Tst2 <- PackageSum2(Tstdf)

##
## list method
##
TstList <- list(PackageSummary=Tstdf)

all.equal(Tst2, PackageSum2(TstList))


##
## findFn method
##
Tst.findFn <- data.frame(
    Package=c('grid', 'base')[c(1,1,2)], 
    Score=2:4, Date=LETTERS[1:3], stringsAsFactors=FALSE)
attr(Tst.findFn, 'PackageSummary') <- PackageSummary(
    Tst.findFn)
class(Tst.findFn) <- c('findFn', 'data.frame')
Tst2. <- PackageSum2(Tst.findFn)


all.equal(Tst2, Tst2.[names(Tst2)])


##
## data.frame method
##
Tstdf <- data.frame(Package=c('grid', 'base'), 
            stringsAsFactors=FALSE)
Tst2 <- PackageSum2(Tstdf)

##
## list method
##
TstList <- list(PackageSummary=Tstdf)

all.equal(Tst2, PackageSum2(TstList))


##
## findFn method
##
Tst.findFn <- data.frame(
    Package=c('grid', 'base')[c(1,1,2)], 
    Score=2:4, Date=LETTERS[1:3], stringsAsFactors=FALSE)
attr(Tst.findFn, 'PackageSummary') <- PackageSummary(
    Tst.findFn)
class(Tst.findFn) <- c('findFn', 'data.frame')
Tst2. <- PackageSum2(Tst.findFn)


all.equal(Tst2, Tst2.[names(Tst2)])

Summarize findFn Results by Package

Description

Returns a data.frame with one row for each package and columns Count = number of rows in the search results for that package, maxScore and totalScore = max and total score for help pages found from that package.

Usage

PackageSummary(x, sortby=NULL)
PackageSummary(x, sortby=NULL)

Arguments

x

a data.frame with columns Package, Score, and Date.

sortby

a character vector specifying how the data.frame returned should be sorted. Default = c('Count', 'MaxScore', 'TotalScore', 'Package') to sort descending on numerics and ascending on alphanumerics. Specifying sortby = c('c', 't', 'm') is equivalent to c('Count', 'TotalScore', 'MaxScore', 'Package').

Components of sortby must match either this list or c('Score', 'Function', 'Date', 'Description', 'Link'). Any on this latter list are ignored without a warning. This allows the same sortby used for findFn to be used here.

Details

1. Convert x['Package'] to character to automatically drop any unused levels of a factor.

2. Compute Count, TotalScore, and MaxScore.

3. Find the first occurrence of each Package, and use that to convert the Link to the first help page to pkgLink = a link for the package. For example, the Link to 'html' for help('c') is 'http://finzi.psych.upenn.edu/R/library/base/html/c.html', and pkgLink to the 'html' overview for 'base' is 'http://finzi.psych.upenn.edu/R/library/base/html/00Index.html'.

4. Assemble into a data.frame, sort and return.

Value

a data.frame with one row for each package and columns Package, Count, MaxScore, TotalScore, Date, and pkgLink, sorted as specified by sortby.

Author(s)

Spencer Graves

Examples

tstdf <- data.frame(Package=letters[c(1,1,2)], Score=2:4,
                    Date=LETTERS[1:3], stringsAsFactors=FALSE)
tstdf$Link <- paste0('http://finzi.psych.upenn.edu/R/library/', 
    tstdf$Package, '/html/', letters[4:6], '.html')
    
tstSum <- PackageSummary(tstdf)
# The answer:
tstSm <- data.frame(Package=letters[1:2], Count=c(a=2, b=1),
    MaxScore=c(3, 4), TotalScore=c(5, 4), 
    Date=LETTERS[c(1, 3)], stringsAsFactors=FALSE)
tstSm$pkgLink <- paste0('http://finzi.psych.upenn.edu/R/library/', 
    tstdf$Package[2:3], '/html/00Index.html')    
row.names(tstSm) <- 1:2

all.equal(tstSum, tstSm)

tstdf <- data.frame(Package=letters[c(1,1,2)], Score=2:4,
                    Date=LETTERS[1:3], stringsAsFactors=FALSE)
tstdf$Link <- paste0('http://finzi.psych.upenn.edu/R/library/', 
    tstdf$Package, '/html/', letters[4:6], '.html')
    
tstSum <- PackageSummary(tstdf)
# The answer:
tstSm <- data.frame(Package=letters[1:2], Count=c(a=2, b=1),
    MaxScore=c(3, 4), TotalScore=c(5, 4), 
    Date=LETTERS[c(1, 3)], stringsAsFactors=FALSE)
tstSm$pkgLink <- paste0('http://finzi.psych.upenn.edu/R/library/', 
    tstdf$Package[2:3], '/html/00Index.html')    
row.names(tstSm) <- 1:2

all.equal(tstSum, tstSm)

print a findFn object

Description

Print a findFn object to a file and pass it to a web browser

Usage

## S3 method for class 'findFn'
print(x, where, title, 
  openBrowser = TRUE, template, ...)
## S3 method for class 'findFn'
print(x, where, title, 
  openBrowser = TRUE, template, ...)

Arguments

`x`	An object of class `findFn`
`where`	a character vector interpreted as follows: If `length(where)==1`, it must be either 'HTML' or 'console' or the name of a column of `x` or the name of a file to hold the file created to be displayed in a web browser. If `length(where)>1`, it must be the names of columns of `x` to be displayed on the console. If `where` is a vector of names of columns of `x`, those columns will be printed to the console, and there will be no display in a web browser. If `where` == 'console', the following columns of `x` are displayed: `c('Count', 'Package', 'Function', 'Score', 'Date')`.
`title`	An optional title to give the HTML file. Default is to use the original query string.
`openBrowser`	logical; if `TRUE` and `where` is missing or 'HTML', launch default browser after building table
`template`	Template file used by `brew`
`...`	ignored

Value

The full path and name of the file created is returned invisibly.

Author(s)

Sundar Dorai-Raj, Spencer Graves, Romain Francois, Uwe Ligges

Examples

splineSearch <- try(findFn("spline", maxPages = 2))

if(!inherits(splineSearch, 'try-error')){
if(!CRAN()){
  print(splineSearch, 'console')
  splineSearch # all columns in a browser
}
webScr <- try(findFn('web scraping'))
if(!inherits(webScr, 'try-error')){
if(!CRAN()){
  print(webScr)
}
}
}
splineSearch <- try(findFn("spline", maxPages = 2))

if(!inherits(splineSearch, 'try-error')){
if(!CRAN()){
  print(splineSearch, 'console')
  splineSearch # all columns in a browser
}
webScr <- try(findFn('web scraping'))
if(!inherits(webScr, 'try-error')){
if(!CRAN()){
  print(webScr)
}
}
}

print a packageSum object

Description

Print a packageSum object to a file and pass it to a web browser

Usage

## S3 method for class 'packageSum'
print(x, where, title, 
    openBrowser = TRUE, template, ...)
## S3 method for class 'packageSum'
print(x, where, title, 
    openBrowser = TRUE, template, ...)

Arguments

`x`	An object of class `packageSum`
`where`	a character vector interpreted as follows: If `length(where)==1`, it must be either 'HTML' or 'console' or the name of a column of `x` or the name of a file to hold the file created to be displayed in a web browser. If `length(where)>1`, it must be the names of columns of `x` to be displayed on the console. If `where` is a vector of names of columns of `x`, those columns will be printed to the console, and there will be no display in a web browser. If `where` == 'console', the following columns of `x` are displayed: `c('Count', 'maxScore', 'totalScore', 'Package', 'Date')`.
`title`	An optional title to give the HTML file. Default is to use the original query string.
`openBrowser`	logical; if `TRUE` and `where` is missing or 'HTML', launch default browser after building table
`template`	Template file used by `brew`
`...`	ignored

Value

The full path and name of the file created is returned invisibly.

Author(s)

Spencer Graves

Examples

splineHelp <- try(findFn("spline", maxPages = 2))

if(!inherits(splineHelp, 'try-error')){
splinePkgs <- packageSum(splineHelp)
if(!CRAN()){
  print(splinePkgs, 'console')
  splinePkgs # all columns in a browser

  des1 <- try(findFn('differential equations', 1))
  de1 <- try(findFn('differential equation', 1))
# each retrieves 1 page of 20 hits
# but not the same 20

  if(!(inherits(des1, 'try-error') ||
       inherits(de1, 'try-error'))){
  de.s <- unionFindFn(des1, de1)
  de.s
# Other example:  
  webScr <- try(findFn('web scraping'))
  if(!inherits(webScr, 'try-error')){
  pS <- packageSum(webScr)
  print(pS)
}
}
}
}
splineHelp <- try(findFn("spline", maxPages = 2))

if(!inherits(splineHelp, 'try-error')){
splinePkgs <- packageSum(splineHelp)
if(!CRAN()){
  print(splinePkgs, 'console')
  splinePkgs # all columns in a browser

  des1 <- try(findFn('differential equations', 1))
  de1 <- try(findFn('differential equation', 1))
# each retrieves 1 page of 20 hits
# but not the same 20

  if(!(inherits(des1, 'try-error') ||
       inherits(de1, 'try-error'))){
  de.s <- unionFindFn(des1, de1)
  de.s
# Other example:  
  webScr <- try(findFn('web scraping'))
  if(!inherits(webScr, 'try-error')){
  pS <- packageSum(webScr)
  print(pS)
}
}
}
}

Sort a findFn Object

Description

Sort a data.frame as a findFn object.

Usage

sortFindFn(x, sortby=NULL)
sortFindFn(x, sortby=NULL)

Arguments

`x`	a `data.frame` to sort and convert to an object of class `findFn` (if it does not already have this class).
`sortby`	sort information as for function `findFn`.

Details

1. pkgSum <- PackageSummary(x, sortby)

2. Order x as required for findFn

3. class = c("findFn", "data.frame")

Value

An object of class c('findFn', 'data.frame') with a "PackageSummary" attribute.

Author(s)

Spencer Graves

Examples

tstdf <- data.frame(Package=letters[c(1,1,2)],
                    Function=c('a1', 'a2', 'b3'), Score=2:4,
                    Date=11:13, Description=c('D1', 'D2', 'D3'),
                    Link=c('L1', 'L2', 'L3'), stringsAsFactors=FALSE)
rss <- sortFindFn(tstdf)
tstdf <- data.frame(Package=letters[c(1,1,2)],
                    Function=c('a1', 'a2', 'b3'), Score=2:4,
                    Date=11:13, Description=c('D1', 'D2', 'D3'),
                    Link=c('L1', 'L2', 'L3'), stringsAsFactors=FALSE)
rss <- sortFindFn(tstdf)

Summary Method for findFn

Description

Summary Method for objects of class findFn

Usage

## S3 method for class 'findFn'
summary(object, minPackages = 12,
                         minCount = NA, ...)
## S3 method for class 'findFn'
summary(object, minPackages = 12,
                         minCount = NA, ...)

Arguments

`object`	An object of class `findFn`
`minPackages`	the minimum number of packages to include in the summary. Other packages with the same count will also appear in the summary, but packages with a smaller count will not. The number of packages displayed will be less than `minPackages` only when there are fewer than that number of packages containing the search term in its help pages.
`minCount`	the minimum count for a package to display. `minCount` = 1 displays all packages. The default is the minimum of the input `minCount` and the count for package number `minPackages`.
`...`	ignored

Details

Return an object of class c('summary.findFn', 'list') with summary information on only packages satisfying the minPackages and minCount criteria. The minPackages and minCount components of the summary output list will be adjusted as necessary to match characteristics of object. The print method for a summary.findFn object will display the minCount, but minPackages will be a component of the returned object without being printed.

Value

An object of class c('summary.findFn', 'list') with the following elements:

`PackageSummary`	a data.frame with one row for each package and columns `Package`, `Count`, `MaxScore`, `TotalScore`, `Date`, and `pgLink`. This summary is sorted per the `sortby` argument in the call to `findFn`.
`minPackages`, `minCount`	the `minPackages` and `minCount` arguments in this call to `summary.findFn`.
`matches`	the total number of matches returned by `findFn`. This is an attribute of a `findFn` object; the number of rows of `object` will either be `matches` or `maxPages*matchesPerPage`, whichever is smaller.
`nrow`	the number of matches in this `findFn` object
`nPackages`	the number of packages in this `findFn` object
`call`	the matched call to `findFn`.

Author(s)

Spencer Graves

Examples

  z <- try(findFn("spline", maxPages = 2))
  if(!inherits(z, 'try-error'))summary(z, 2)
z <- try(findFn("spline", maxPages = 2))
  if(!inherits(z, 'try-error'))summary(z, 2)

Combine findFn Objects

Description

Combines to findFn objects into a new findFn object with only one row for any help page duplicated between the two. unionFindFn removes duplicate entries. intersectFindFn keeps only the duplicates.

Usage

unionFindFn(e1, e2, sortby=NULL)
intersectFindFn(e1, e2, sortby=NULL)

## S3 method for class 'findFn'
Ops(e1,e2)
# This supports "|" for "unionFindFn"
# and "&" for "intersectFindFn".
unionFindFn(e1, e2, sortby=NULL)
intersectFindFn(e1, e2, sortby=NULL)

## S3 method for class 'findFn'
Ops(e1,e2)
# This supports "|" for "unionFindFn"
# and "&" for "intersectFindFn".

Arguments

`e1`, `e2`	objects of class `findFn`.
`sortby`	Optional `sortby` argument used by `sortFindFn` and `findFn`. Default is the `sortby` argument in `attr(e1, 'call')`.

Details

1. e12 <- rbind(e1, e2)

2. For any (Package, Function) appearing in both e1 and e2, the row with the largest Score is retained and the other is deleted.

3. Apply sortFindFn to the rebuild the summary and sort the result as desired.

4. attr(e12, 'matches') <- c(attr(e1, 'matches'), attr(e2, 'matches'))

Value

an object with class c('findFn', 'data.frame') as returned by sortFindFn and findFn.

Note

Binary operators ‘⁠&⁠’ and ‘⁠|⁠’ are implemented for the S3 class ‘⁠findFn⁠’

Author(s)

Spencer Graves and Romain Francois

Examples

des1 <- findFn('differential equations', 1)
de1 <- findFn('differential equation', 1)
# each retrieves 1 page of 20 hits
# but not the same 20

de.s <- unionFindFn(des1, de1)
# combines the two, eliminating duplicates.

# or the sorter version:
de.s. <- des1 | de1

all.equal(de.s, de.s.)




# Keep only the common entries.
de2 <- intersectFindFn(des1, de1)
de2. <- des1 & de1

all.equal(de2, de2.)


# summary and print still work with the combined object.
summary(de.s)
if(!CRAN()){
  de.s
}

summary(de2)
if(!CRAN()){
  de2
}


des1 <- findFn('differential equations', 1)
de1 <- findFn('differential equation', 1)
# each retrieves 1 page of 20 hits
# but not the same 20

de.s <- unionFindFn(des1, de1)
# combines the two, eliminating duplicates.

# or the sorter version:
de.s. <- des1 | de1

all.equal(de.s, de.s.)




# Keep only the common entries.
de2 <- intersectFindFn(des1, de1)
de2. <- des1 & de1

all.equal(de2, de2.)


# summary and print still work with the combined object.
summary(de.s)
if(!CRAN()){
  de.s
}

summary(de2)
if(!CRAN()){
  de2
}

Write a findFn object to an Excel file

Description

Write a findFn object to an Excel file with sheets for PackageSum2, the findFn table, and the call attribute of the findFn object.

Usage

writeFindFn2xls(x,
       file.=paste(deparse(substitute(x)), 'xls', 
       sep='.'), csv, ...)
findFn2xls(x,
       file.=paste(deparse(substitute(x)), 'xls', 
       sep='.'), csv, ...)
writeFindFn2xls(x,
       file.=paste(deparse(substitute(x)), 'xls', 
       sep='.'), csv, ...)
findFn2xls(x,
       file.=paste(deparse(substitute(x)), 'xls', 
       sep='.'), csv, ...)

Arguments

`x`	An object of class `findFn`
`file.`	Name of Excel file to create. If a file of this name already exists, it will be overwritten.
`csv`	logical: if `TRUE`, write three `.csv` files rather than one `.xls` file. Default is `FALSE` if software is available to write a `*.xls` file and `TRUE` otherwise.
`...`	optional arguments to `write.csv` used if

Details

findFn2xls is an alias for writeFindFn2xls; both functions do the same thing.

Value

The name of the file created is returned invisibly.

Author(s)

Spencer Graves with help from Dirk Eddelbuettel, Gabor Grothendiek, and Marc Schwartz.

Examples

splineSearch <- try(findFn("spline", maxPages = 1))
if(!inherits(splineSearch, 'try-error')){
  writeFindFn2xls(splineSearch)

  findFn2xls(splineSearch, csv=TRUE)
}
splineSearch <- try(findFn("spline", maxPages = 1))
if(!inherits(splineSearch, 'try-error')){
  writeFindFn2xls(splineSearch)

  findFn2xls(splineSearch, csv=TRUE)
}

Package 'sos'

Help Index

Replace backslash with forward slash in a character string

Description

Usage

Arguments

Details

Value

Author(s)

See Also

Examples

Test if running as CRAN

Description

Usage

Arguments

Details

Value

Author(s)

See Also

Examples

Subset a findFn object

Description

Usage

Arguments

Details

Value

Author(s)

See Also

Examples

Search Help Pages

Description

Usage

Arguments

Details

Value

Author(s)

References

See Also

Examples

Match pattern in a column of a matrix or data.frame

Description

Usage

Arguments

Details

Value

Author(s)

See Also

Examples

matches attribute of a findFn object

Description

Usage

Arguments

Details

Value

Author(s)

See Also

Examples

install packages with minimum count

Description

Usage

Arguments

Details

Value

Author(s)

See Also

Examples

Add Info from Installed Packages to PackageSummary

Description

Usage

Arguments

Details

Value

Author(s)

See Also

Examples

Add Info from Installed Packages to PackageSummary

Description

Usage

Arguments

Details