ggplot2 boxplot

R free to use; statistical tools;# NotesBlock Comment: anything= ""Editor: Rsutdio,tinn-r,eclipse+statet; Chinese will be garbled?, Help: BoxPlot, Help (BoxPlot), Help ("[[")Source (' ABC. R ')Library (GGPLOT2)Install.packages ()Q ()SETWD ("e:\\xxx\\yyy\\")RM (List=ls (all=true))Log natural logarithm; log10;ScalarAssignment Value: Variable name can be used.c () v

The dataset used in this article is the GGPLOT2 packet Diamonds dataset, which contains information about the price and quality of about 54000 diamonds. This set of data covers four "C"-carat weight (carat), which reflects the quality of diamonds, cut, color and clarity (clarity), and five physical indicators-depth (depth), diamond width (table), x, Y, Z. The following figure: Another dataset used in this article is a random sample with a capacity o

Preface:After introducing the basic introductory syntax for R, you will now also provide some of the basic drawing instances of R that you have recently collated for your friend's reference. (Warm tip: Code with caution!) It is best to do the exercises according to the example of this post extrapolate. Code more than the best policy, must not sidelines! ）#基础R绘图x1: -y -+ x*5Windows ( -, $);p lot (y) #默认情况绘制散点图type ="P"Windows ( -, $);p Lot (y,type="L") #"L"The line initial # normal distribution

(Array ([-1.12817385, 1.07053437,-65.81425599,-4.564575, 6.17156198]), array ([2.62704721e-01, 2.87680340e-01, 4.15643528e-70, 1.83764399e-05, 2.82461897e-08]) The first array is the T statistic, and the second array is the corresponding P value. Visualization of Python has many visual modules, the most popular of which is the Matpalotlib library. With a little mention, we can also select Bokeh and Seaborn modules. In the previous blog post, I have explained the Matplotlib library

Here only the data analysis commonly used graphic drawing, as for the complex graphics is not in the scope of this discussion, a few of the graphics to meet the requirements of the data analysis process, as for reporting materials or other high-quality graphics, and then write another about the simple use of ggplot2.Python's drawing tools are mainly matplotlib, which is not complex to use, but simple to use. There are two ways to use matplotlib drawin

I. box plot 1. Box chart Air 2. Narrow box width Boxplot (air, boxwex = 0.2, las = 1) # boxwex is used to narrow down the box, but 0.2 here does not mean to narrow down to 0.2 times of the original box. 3. Specify the Cabinet width Boxplot (air, width = C () # width specifies the width of the two boxes, respectively 1 and 2 4. Group Metals 5. The number of observed values d

Ggplot2 () function Ggplot2 is a powerful mapping tool that allows you to create any graphics that will help you solve your problems without being limited by existing graphics types. Qplot () Qplot () belongs to Ggplot2 () and can be understood as a simplified version of it.Qplot is "rapid mapping" (quick plot), as the name suggests, can quickly data visualizatio

Fsharpchart is a type of F # Friendly Packaging of system. Windows. Forms. datavisualization. charting to enable interaction of data in F # interactive. The latest version of fsharpchart is fsharpchart0.6, which is provided by Microsoft's Carl Nolan's. In the chart controls section of msdn, you can view more information about fchart controls. Of course, for more information about fsharpchart, you can also visit the blog of Carl Nolan's in person. The latest version provides the following new fea

without these packages, you will not be able to generate PDF files. Therefore, some necessary r packages must be installed, including (but not limited to) the following: Bitops Catools ColorSpace Gdata Ggplot2 Gplots Gtools Rcolorbrewer Reshape Gsalib How do I check if these packages are installed? Taking Ggplot2 as an example, enter R,

developed similar products with the Canadian team, based on HTML5 and D3, unfortunately, due to various reasons, the product cannot be pushed to the market) More and more people are using python for data analysis. IPython Notebook is especially popular. its real-time interaction brings the advantages of scripting language to the extreme. So how can ggplot be used in IPython Notebook? I would like to share with you three different ways for you to choose.RPy2 The first method is to use rpy2. rpy2

various reasons, the product cannot be pushed to the market) More and more people are using python for data analysis. IPython Notebook is especially popular. Its real-time interaction brings the advantages of scripting language to the extreme. So how can ggplot be used in IPython Notebook? I would like to share with you three different ways for you to choose.RPy2 The first method is to use rpy2. rpy2 is to rewrite and redesign rpy to provide Python users with R APIs in python. Rpy2 provides bas

more people are starting to use Python to do data analysis, IPython notebook is particularly popular, its real-time interaction to the scripting language advantage to play to the extreme. So how can you use Ggplot in Ipython notebook? I am here to share with you three different ways for you to choose.RPy2 The first is to use Rpy2, Rpy2 is a rewrite and redesign of Rpy, designed to provide Python users with an API for using R in Python. RPY2 provides a basic encapsulation of objects and methods

Common statistical Drawing function Summary plot () hist () straight square diagram stem () boxplot () Box line diagram (Box chart) Coplot () co-map Qqnorm () normal QQ diagram Qqplot () Two overall QQ Figure 1. Common options for advanced low-level graphics functions Overview of high and low level graphics functions advanced graphical functions can quickly and easily draw common types of graphics, but in some cases you may want to draw some graphics

to market) Now more and more people are starting to use Python to do data analysis, IPython notebook is particularly popular, its real-time interaction has the advantage of scripting language to maximize. So how can you use Ggplot in Ipython notebook? I'm here to share three different ways for you to choose.RPy2 The first approach is to use Rpy2, Rpy2 is a rewrite and redesign of Rpy, designed to provide an API for Python users to use R in Python. RPY2 provides a basic encapsulation of objec

, province, city, county, 4 administrative division, the letter P end of the expression polygon data, used to draw the area, BOU2 is the boundary of Provincial administrative division. This data is not the latest data, the latest data in the National Basic Geographic Information Center can not be found, probably to buy to get, but for the general drawing, this data has been able to meet the requirements. This article draws a map with 3 packages: Sp,maptools,