Package resumer. R topics documented: August 29, 2016
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1 Package resumer August 29, 2016 Title Build Resumes with R Version Using a database, LaTeX and R easily build attractive resumes. Depends R (>= 3.2.1) License BSD_3_clause + file LICENSE LazyData true ByteCompile true URL BugReports Suggests testthat Imports useful, dplyr, rmarkdown RoxygenNote NeedsCompilation no Author Jared Lander [aut, cre] Maintainer Jared Lander <packages@jaredlander.com> Repository CRAN Date/Publication :10:02 R topics documented: resumer-package createjobfile generatelisting generatemultiplelistings generatesection jobs resumer Index 8 1
2 2 createjobfile resumer-package resumer resumer createjobfile createjobfile Creates a CSV to hold information about jobs and research createjobfile(filename = "Resume.csv", sep = ",") filename sep Name of file in which to create the csv Separator to use, ; is suggested Details This creates a data.frame and writes an empty file to disk. This file should either be edited by hand or with a data.frame. Value An empty data.frame Author(s) Jared P. Lander Examples ## Not run: createjobfile() ## End(Not run)
3 generatelisting 3 generatelisting generatelisting Generate LaTeX code for job info generatelisting(data, bullets, type = "Job", specialchars = "&") data bullets type specialchars data.frame holding the info for one job The BulletName s for the desired rows The type of subsection to build; defaults to Job, the other currently supported value is Research Vector of characters that need to be double-backslashed escaped Details Value Given a subsetted dataset of just one job this generates LaTeX code. Given jobname and company name, print out the section. LaTeX code for a subsection in the resume Author(s) See Also Jared P. Lander generatemultiplelistings generatesection Examples library(dplyr) onejob <- jobs %>% filter(jobname=='pied Piper', Company=='Tech Central') generatelisting(onejob) generatelisting(onejob, bullets=c(1, 3)) oneresearch <- jobs %>% filter(jobname=='oddie Research', Company=='Hudson University') generatelisting(oneresearch, bullets=4, type='research') generatelisting(oneresearch, bullets=4:5, type='research')
4 4 generatemultiplelistings generatemultiplelistings generatemultiplelistings Generate an entire resume section generatemultiplelistings(data, joblist, type = "Job", specialchars = "&") data joblist type specialchars data.frame holding the info for one job A list of jobs, each of which is a list where the first element is the Company, the second is the JobName and the third is a vector of BulletName s The type of section to build; defaults to Job, the other currently supported value is Research Vector of characters that need to be double-backslashed escaped Details Value Using a list of lists to describe jobs generate text for each job subsection A vector of text, one for each job Author(s) See Also Jared P. Lander generatelisting generatesection Examples joblist <- list( list("pied Piper", "Tech Startup", c(1, 3)), list("goliath National Bank", "Bank Intern", 1:3), list("surveyors Inc", "Survery Stats", 1:2) ) generatemultiplelistings(jobs, joblist)
5 generatesection 5 generatesection generatesection Generate an entire job/research section generatesection(data, joblist, sectionname = "Relevant Experience", type = "Job", specialchars = "&") data joblist sectionname type specialchars data.frame holding the info for one job A list of jobs, each of which is a list where the first element is the Company, the second is the JobName and the third is a vector of BulletName s Name to be printed at the top of the section The type of section to build; defaults to Job, the other currently supported value is Research Vector of characters that need to be double-backslashed escaped Details Given a jobs data.frame and a job list generate all the code needed for a jobs section Value All the text needed for a job section Author(s) Jared P. Lander See Also generatelisting generatemultiplelistings Examples data(jobs) joblist <- list( list("pied Piper", "Tech Startup", c(1, 3)), list("goliath National Bank", "Bank Intern", 1:3), list("surveyors Inc", "Survery Stats", 1:2) ) generatesection(jobs, joblist)
6 6 resumer jobs Prices of 50,000 round cut diamonds. A dataset containing the listings for a resume jobs Format A data frame with 27 rows and 10 variables: JobName The internal name given to ID the job Company Name of company Location Job Location Title Position Title Start Start date of job End End date of job Bullet Bullet points for jobs BulletName Name or ID for bullets Type Type of job, either a job or research Short blurb about the job Source Manufactured data resumer resumer Convert to a resume resumer(fig_width = 4, fig_height = 2.5, fig_crop = TRUE, dev = "pdf", highlight = "default", keep_tex = FALSE, latex_engine = "pdflatex", includes = NULL, md_extensions = NULL, pandoc_args = NULL, template = "default")
7 resumer 7 fig_width fig_height fig_crop dev highlight keep_tex latex_engine includes md_extensions pandoc_args template Default width (in inches) for figures Default width (in inches) for figures TRUE to automatically apply the pdfcrop utility (if available) to pdf figures Graphics device to use for figure output (defaults to pdf) Syntax highlighting style. Supported styles include "default", "tango", "pygments", "kate", "monochrome", "espresso", "zenburn", and "haddock". Pass NULL to prevent syntax highlighting. Keep the intermediate tex file used in the conversion to PDF LaTeX engine for producing PDF output. Options are "pdflatex", "lualatex", and "xelatex". Named list of additional content to include within the document (typically created using the includes function). Markdown extensions to be added or removed from the default definition or R Markdown. See the rmarkdown_format for additional details. Additional command line options to pass to pandoc Pandoc template to use for rendering. Pass "default" to use the resumer package default template; pass NULL to use pandoc s built-in template; pass a path to use a custom template that you ve created.
8 Index Topic datasets jobs, 6 createjobfile, 2 generatelisting, 3, 4, 5 generatemultiplelistings, 3, 4, 5 generatesection, 3, 4, 5 includes, 7 jobs, 6 resumer, 6 resumer-package, 2 rmarkdown_format, 7 8
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