Before the painting, first introduceMatlab BoxPlot,The following description is from http://www.plob.org/2012/06/10/2153.htmlBecause Matlab has the powerful computation function, with its statistical data function advantage is obvious, here to share uses the MATLAB BoxPlot some skill, for everybody reference.Matlab BoxPlotCommandThe format is as follows
BoxPlot
BoxPlot is used to plot the box plots, we all know that BoxPlot is used to show the overall distribution of a set of data, in the R language, the way to support two types of input dataThe first type: x, which specifies the data used to draw the box plot, is a vectorcode example:BoxPlot (1:100)As follows:The second, Formala and data two parameter designations, suitable for displaying the distribution of mult
What is a boxplotBox plot is often seen in the literature and is a common representation of data distribution. However, what you see is often not very clear. Therefore, you need to understand the plot process of the box plot and its significance.Computing process:1. Calculate the upper quartile, median, and lower quartile.2 calculate the difference between the upper quartile and the lower quartile, that is, the quartile difference (iqr, interquartile range)3. Upper and Lower ranges of the box pl
Recently, when fiddling with data dispersion, I encountered a graph called box diagram (BoxPlot). It works well for discrete distributions of display data.The box was invented in 1977 by John Tukey, the American statistician John Tuki. It consists of five numeric points: Minimum (min), lower four (Q1), median (median), Upper four (Q3), Maximum (max). You can also add an average (mean) to the box diagram. Such as. The next four-digit, median, and four-
Ggplot2R's Graphing toolkit, you can use very simple statements to achieve very complex and beautiful results.QplotLoad Qplot=#1. Visualize by basic classification of Color,size,shape#1.1 Simple scatter plot (using color classification, diamonds of different colors are represented by dots of different colors)#1.2. Simple scatter plots (using shape classification, different cutting methods are represented by different shapes of points)#2. Drawing different types of charts: Geom parametersGeom= ""
The purpose of this paper is to introduce some fine operation of Ggplot2 package in R language, which is mainly applicable to people who have a certain understanding of R-Drawing and need to be more finely transformed into diagrams, especially those who have just turned ggplot2 from Excel, and have more frequent drawing needs. No discussion of those very cool charts, with practical commercial charts as the
Directory:
Original pattern
How to remove the clutter from the center of a pie chart
How to remove a label next to a pie chart
How to get rid of the upper left corner of the extra horizontal line
How to remove the caption from the legend and place the legend above
How to add a percentage to a legend's label
How to make a small piece of pie chart appear clockwise from large to small
How to remove the numbers on the white box
How to add a percentage to a gr
June has been busy in the final exam, today to quickly learn the Ggplot2 package of simple drawing.There are also many drawing functions in the base package of R, such as plot (); Barplot (); Qqplot ();But there is also the famous Ggplot2 bag, using the function of this package to draw a beautiful picture, and the use of flexible.
In Ggplot's Official Handbook, a statistical graph is made up of data to geom
Preface:Everyone should know that ggplot2 and shiny are all seven of the R language weapons, although their ability is very fluid force, but also out "Walk the lake" for many years, but in the domestic relevant knowledge sharing is relatively small. Many times encountered problems have to search the wall, so despite their qualifications is still shallow, but I would like to be able to make a summary of their own knowledge to share, I hope to be helpfu
Directory:
Initial pattern
How to modify the width of bar bars
How to modify the order of bar bars
How do I add text to the bar
(For more information on legends, coordinate systems, etc. see: R, Ggplot2, shiny summary)Initial pattern:library(ggplot2)library(ggthemes)dtdata.frame(obj = c(‘A‘,‘D‘,‘B‘,‘E‘,‘C‘), val = c(2,15,6,9,7))p = ggplot(dt, aes(x = obj, y = val, fill = obj, group
Directory:Initial pattern How to modify the width of a bar how to change the order of bars how to add text to a bar
(For more on the legend, coordinate system, etc. see: R, Ggplot2, shiny summary)
Initial pattern:
Library (GGPLOT2)
Library (ggthemes)
dt = data.frame (obj = C (' A ', ' D ', ' B ', ' E ', ' C '), val = C (2,15,6,9,7))
p = Ggplot (DT, AES (x = obj, y = val, fill = obj, group = factor (1))) +
Introduction
There is no doubt about the quality of the Ggplot2 package, but its drawing grammar is still a little difficult for beginners, Ggplot2: Data analysis and Graphic Art This book also introduces the basic philosophy and operation of Ggplot2 package, and the personal feeling examples are not rich enough, So the use of the package is still stuck at the da
R3.2.2 Version Installation Ggplot2 installed Ggplot2 Today, began to use the R3.2.1 version, but has been an error. The back of a new R3.2.2, but the installation is still the same error, the reason is Munsell this package incompatibility problem, find the way to solve this problem is the local zip installation Munsell Package: The following: Remove the Ggplot2
we are probably not unfamiliar with the following infographic, which uses 100% stacked area charts to represent the proportions of different countries in different periods of time. This is a very interesting expression, and the area chart is a very common data graph, now let's look at how to use Ggplot2 and Plot.area in R to make an area chart. before making a chart, let's first create some random sample data . The R code is as follows:
1 # C
The following plots take the Weibull distribution (Weber distribution, Weibull distribution) as an exampleFor Weibull distribution (Weber distribution, Weibull distribution), please refer to my blog http://www.cnblogs.com/wwxbi/p/6141501.htmlLibrary (GGPLOT2)# both D and Y here are in order of sizedYDfGgplot (Df,aes (x=d,y)) +Geom_line (colour= "green") +Ggtitle ("Weibull distribution \ n probability density map")# Here's H no size orderH Ggplot (Null
1. color and shape control
Data features can be expressed not only by coordinates, but also by different colors or shapes. Taking the MPG dataset as an example, the variables used include cty (driving distance in the city), hwy (highway driving distance), displ (displacement size), and year (production year)
1 library(ggplot2)2 p
We will use a red circle to represent the models produced in 1999, and a blue triangle to represent the displacement in
data:The Diamonds dataset in Ggplot2, using a random sample to fetch 1000 samples, the code is as follows:> Library (GGPLOT2)> Data ("Diamonds")> Head (Diamonds)> set.seed (1234)> Small Histogram> Ggplot (Small) +geom_histogram (Aes (X=price), fill= "Cornflowerblue", colour= "Black", binwidth= 1000)Stacked HistogramUse the "Cut" column in the data (divided into 5 grades, used to differentiate the quality of
ggplot2– Practice (change of legend: Take the frequency scatter graph as an example) Ggplot2 direct realization
Paint code:The data is two columns and the second is the factor type.
> Head (plotdat)
Soc Soc Low alarm
1 0 normal
2 2 error
3 0 Normal
4 1 error
5 0 normal
# # #大小和高度都代表频率 ###
g # #设定名字
Problem
There are three questions about the legend:1. How to remove t
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