VisualResume: Creates a visual resume from dataframes specifying important...

In ndphillips/VisualResume: Visual Resume creator

Description

Creates a visual resume from dataframes specifying important events (e.g.; jobs or education) and interests / skills. The plot is optimized for an 8.5 in x 11 in display.

Usage

VisualResume(titles.left = c("Main Title", "Sub-title", "Sub-Sub-title"),
  titles.left.cex = c(4, 3, 2), titles.right = c("A", "B", "C"),
  titles.right.cex = c(4, 3, 2), timeline.labels = c("", ""),
  timeline.cex = c(1.8, 1), timeline = NULL, milestones = NULL,
  events = NULL, events.cex = 1.5, interests = NULL, font.family = NA,
  col = "xmen", trans = 0.6, year.steps = 1, year.range = NULL)

Arguments

titles.left, titles.right	character. Vector of up to length three indicating labels to be shown in the top left / right.
titles.left.cex, titles.right.cex	numeric. Vector indicating the size of the respective labels.
timeline.labels	character. Vector of two labels for the top and bottom sections of the timeline.
timeline.cex	numeric. Vector of length 2 indicating the size of the timeline text. The first element is for the main text, the second element is for the sub text.
timeline	dataframe. Specifications of the elements in the timeline. See Details
milestones	dataframe. Specifications of brief level-1 timeline milestones (at top of timeline). Should contain the columns year (integer) and title (character)
events	dataframe. Specificaions of longer level-2 milestones (in bottom right plot). Should contain the columns year (integer) and title (character)
events.cex	numeric. A size multiplier for level-2 milestones.
interests	list. A list of length up to 4 indicating one's interests / skills. Each entry should be a character vector up to length 5. The more often a value occurs in the vector, the more pronounced it will be.
font.family	character. An optional google font family. Run sysfonts::font.families.google() to see all of them. Only use when creating plot in a plotting device such as pdf()
col	character. The color palette for the plot. Can be a named palette from the yarrr::piratepal() function (e.g.; "basel" or "xmen"), or a vector of named colors.
trans	numeric. A number between 0 and 1 indicating the transparencies of the colors of boxes in the timeline.
year.steps	integer. The step size in years of the year labels in the timeline.
year.range	integer. A vector of minimum and maximum years to plot in the timeline.

Details

The argument timeline specifying events in the timeline should each be a dataframe with at least the following columns:

title, sub

character. Titles and subs

start, end

integer. Start and end years

side

binary. Vertical location of the event. 1 = top, 0 = bottom.

If you want to adjust the locations of elements, you can specify the locations of timeline elements explicitly with additional named columns.

box.x0, box.x1, box.y0, box.y1

numeric. Coordinates of the boxes.

point.x, point.y

numeric. Coordinates of the points.

label.x, label.y

numeric. Coordinates of the labels.

label.dir

string. Directions of the labels. Either "left" or "right".

Note that the vertical axis of the timeline ranges from 0 (the bottom) to 100 (the top).

Examples

# Walter White's visual resume

VisualResume(
titles.left = c("Walter White, PhD", "Chemistry, Cooking, Pizza", "*Built with love in R using the InfoResume package: www.ndphillips.github.io/inforesume"),
titles.right = c("www.lospolloshermanos.com", "[e-mail]", "Full Resume: www.ndphillips.github.io"),
titles.right.cex = c(2, 2, 1),
titles.left.cex = c(4, 2, 1),
timeline.labels = c("Education", "Teaching"),
timeline = data.frame(title = c("Grinnell Col", "Ohio U", "U of Basel", "Max Planck Institute", "Old Van", "Gray Matter", "Sandia Laboratories", "J.P. Wynne High School", "A1A Car Wash"),
                     sub = c("BA. Student", "MS. Student", "PhD. Student", "PhD. Researcher", "Methamphetamine Research", "Co-Founder", "Chemist", "Chemistry Teacher", "Co-Owner"),
                     start = c(1976, 1980.1, 1982.2, 1985, 1996.5, 1987, 1991, 1995, 2001),
                     end = c(1980, 1982, 1985, 1987, 1998, 1992, 1995, 1998, 2003),
                     side = c(1, 1, 1, 1, 1, 0, 0, 0, 0)),
milestones = data.frame(title = c("BA", "MS", "PhD"),
                       sub = c("Mathematics", "Chemistry", "Chemistry"),
                       year = c(1980, 1982, 1985)),
events = data.frame(year = c(1985, 1995, 1997, 1999, 2012),
                   title = c("Contributed to Nobel Prize winning experiment.",
                             "Honorary mention for best Chemistry teacher of the year.",
                             "Created Blue Sky, the most potent methamphetamine ever produced.",
                             "Made first $1,000,000.",
                             "White, W., & Pinkman, J. (2012). Blue Sky: A method of [...].\nJournal of Psychopharmical Substances, 1(1),.")),
interests = list("programming" = c(rep("R", 10), rep("Python", 1), rep("JavaScript", 2), "MatLab"),
                "statistics" = c(rep("Decision Trees", 10), rep("Bayesian", 5), rep("Regression", 3)),
                "leadership" = c(rep("Motivation", 10), rep("Decision Making", 5), rep("Manipulation", 30))),
year.steps = 2)

ndphillips/VisualResume documentation built on May 23, 2019, 1:29 p.m.