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Index. ggplot2 0.9.3.1

Ggplot2 0.9.3.1. Geoms, short for geometric objects, describe the type of plot you will produce. Line specified by slope and intercept. Bars, rectangles with bases on x-axis. Add heatmap of 2d bin counts. Blank, draws nothing. Box and whiskers plot. Display contours of a 3d surface in 2d. Hollow bar with middle indicated by horizontal line. Display a smooth density estimate. Contours from a 2d density estimate. Points, jittered to reduce overplotting. Connect observations, ordered by x value. Apply funci...

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Index. ggplot2 0.9.3.1 | docs.ggplot2.org Reviews

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Ggplot2 0.9.3.1. Geoms, short for geometric objects, describe the type of plot you will produce. Line specified by slope and intercept. Bars, rectangles with bases on x-axis. Add heatmap of 2d bin counts. Blank, draws nothing. Box and whiskers plot. Display contours of a 3d surface in 2d. Hollow bar with middle indicated by horizontal line. Display a smooth density estimate. Contours from a 2d density estimate. Points, jittered to reduce overplotting. Connect observations, ordered by x value. Apply funci...

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10 geom boxplot

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Index. ggplot2 0.9.3.1 | docs.ggplot2.org Reviews

https://docs.ggplot2.org

Ggplot2 0.9.3.1. Geoms, short for geometric objects, describe the type of plot you will produce. Line specified by slope and intercept. Bars, rectangles with bases on x-axis. Add heatmap of 2d bin counts. Blank, draws nothing. Box and whiskers plot. Display contours of a 3d surface in 2d. Hollow bar with middle indicated by horizontal line. Display a smooth density estimate. Contours from a 2d density estimate. Points, jittered to reduce overplotting. Connect observations, ordered by x value. Apply funci...

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docs.ggplot2.org

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geom_contour. ggplot2 2.1.0

http://docs.ggplot2.org/current/geom_contour.html

Ggplot2 2.1.0. Display contours of a 3d surface in 2d. Geom contour(mapping = NULL, data = NULL, stat = "contour", position = "identity", ., lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE). Stat contour(mapping = NULL, data = NULL, geom = "contour", position = "identity", ., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE). Set of aesthetic mappings created by. Inherit.aes = TRUE. If there is no plot mapping. And will be used as the layer data.

2

geom_jitter. ggplot2 2.1.0

http://docs.ggplot2.org/current/geom_jitter.html

Ggplot2 2.1.0. Points, jittered to reduce overplotting. Geom jitter(mapping = NULL, data = NULL, stat = "identity", position = "jitter", ., width = NULL, height = NULL, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE). Set of aesthetic mappings created by. Inherit.aes = TRUE. The default), it is combined with the default mapping at the top level of the plot. You must supply. If there is no plot mapping. The data to be displayed in this layer. There are three options: If. Other arguments passed on to.

3

geom_freqpoly. ggplot2 2.1.0

http://docs.ggplot2.org/current/geom_histogram.html

Ggplot2 2.1.0. Histograms and frequency polygons. Geom freqpoly(mapping = NULL, data = NULL, stat = "bin", position = "identity", ., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE). Geom histogram(mapping = NULL, data = NULL, stat = "bin", position = "stack", ., binwidth = NULL, bins = NULL, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE). Set of aesthetic mappings created by. Inherit.aes = TRUE. If there is no plot mapping. The data to be displayed in this layer. There are three options: If.

4

position_jitter. ggplot2 2.1.0

http://docs.ggplot2.org/current/position_jitter.html

Ggplot2 2.1.0. Jitter points to avoid overplotting. Position jitter(width = NULL, height = NULL). Jitter points to avoid overplotting. Ggplot(mtcars, aes(am, vs) geom point(). Default amount of jittering will generally be too much for # small datasets: ggplot(mtcars, aes(am, vs) geom jitter(). Two ways to override ggplot(mtcars, aes(am, vs) geom jitter(width = 0.1, height = 0.1). Ggplot(mtcars, aes(am, vs) geom jitter(position = position jitter(width = 0.1, height = 0.1).

5

qplot. ggplot2 0.9.3.1

http://docs.ggplot2.org/0.9.3.1/qplot.html

Ggplot2 0.9.3.1. Qplot(x, y = NULL, ., data, facets = NULL, margins = FALSE, geom = "auto", stat = list(NULL), position = list(NULL), xlim = c(NA, NA), ylim = c(NA, NA), log = " , main = NULL, xlab = deparse(substitute(x) , ylab = deparse(substitute(y) , asp = NA). Other aesthetics passed for each layer. Data frame to use (optional). If not specified, will create one, extracting vectors from the current environment. Faceting formula to use. Picks. Depending on whether the formula is one sided or two-sided.

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Ramblings on computers, biology, politics, and books. R package docs github.io. Ever wish you had a painless way to generate spiffy online documentation for your R package, a la ggplot2. Now you can, using github’s free project site hosting and hadley’s staticdocs. Package. Here’s how:. Make some nice documentation for your project, ideally using Roxygen and devtools: document(). Follow the instructions at http:/ r-pkgs.had.co.nz/man.html. Your github username}.github.io/{project name}. April 20, 2016.

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http://bioconnector.org/workshops/r-viz-gapminder.html

Interactive Visualization with JavaScript and R. Reproducible Research and RMarkdown. Building Shiny Web Apps in R. Essential Statistics with R. Survival Analysis with TCGA Data. Harvesting Data from NCBI. NGS DATA ANALYSIS - -. FUTURE COURSES - -. Reproducible Research and RMarkdown. Essential Statistics with R. Survival Analysis with TCGA Data. Reproducible Research and RMarkdown. Advanced Data Visualization with ggplot2. This section will cover fundamental concepts for creating effective data visualiz...

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Interactive Visualization with JavaScript and R. Reproducible Research and RMarkdown. Building Shiny Web Apps in R. Essential Statistics with R. Survival Analysis with TCGA Data. Harvesting Data from NCBI. NGS DATA ANALYSIS - -. FUTURE COURSES - -. Reproducible Research and RMarkdown. Essential Statistics with R. Survival Analysis with TCGA Data. Reproducible Research and RMarkdown. There are over 100,000 questions tagged with R on SO. Here are the most popular ones, ranked by vote. A longer dplyr tutori...

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drawing with data | problem solving, pictures, data justice, teaching & learning | Page 2

https://zanstrong.wordpress.com/page/2

Problem solving, pictures, data justice, teaching and learning. Newer posts →. New York Times interactive for 2013. All of last year’s New York Times interactive pieces are in one place – here. Thanks to the NY Times team for all of their great work! Made a responsive website! I made a new website! You can see everything that makes the website work! But, what does it all do? How do the building blocks fit together into something comprehensible? Typically I like to create things from the basics. I lik...

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r.psylab.info

Шпаргалки | R Tips

http://r.psylab.info/cheatsheets

Шпаргалка по RStudio IDE RStudio. RStudio IDE это наиболее популярная интегрированная среда для серды R. Вы можете писать, запускать и отлаживать свой код. RStudio IDE также включает в себя множество других полезных возможностей. Шпаргалка по визуализации данных RStudio. Позволяет делать красивые и настраиваемые графики ваших данных. Он реализует основы графики, легкой в использовании системы для построения чертежей. Более подробную информацию можно получить на сайте. Книги Хэдли по разработке пакетов.

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Usage - Basic - ggtern: ternary diagrams in R

http://www.ggtern.com/usage-basic

Ggtern: ternary diagrams in R. Usage – Basic. If you are familiar with ggplot2, then this package should be a breeze, the first thing to note is that the ggplot() constructor has been replaced by ggtern() in order to produce a ternary diagram. Existing functionality remains via the ggplot() constructor. The above is more-or-less a convenience wrapper for the following:. Plot - ggplot() coord tern() #Alternate. Layers are required to have x. Most geometries can be used as-is. On What is ggtern?

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Index. ggplot2 0.9.3.1

Ggplot2 0.9.3.1. Geoms, short for geometric objects, describe the type of plot you will produce. Line specified by slope and intercept. Bars, rectangles with bases on x-axis. Add heatmap of 2d bin counts. Blank, draws nothing. Box and whiskers plot. Display contours of a 3d surface in 2d. Hollow bar with middle indicated by horizontal line. Display a smooth density estimate. Contours from a 2d density estimate. Points, jittered to reduce overplotting. Connect observations, ordered by x value. Apply funci...

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