ggplot2 r tutorial

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Detailed usage of the Qplot () function

Detailed usage of the Qplot () function:Library (GGPLOT2)# test Data set, Ggplot2 built-in diamond dataQplot (carat, price, data = diamonds)Dsmall #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)Qplot (carat, price, data = dsmall, colour = color)

Projections for the 2016 presidential election

/PREDBLOG.RMD# #载入需要的包require (XML) require (DPLYR) require (Tidyr) require (READR) require (mosaic) require (Rcurl) require (GGPLOT2) Require (lubridate) require (Rjsonio) # #数据拉取url = "http://projects.fivethirtyeight.com/2016-election-forecast/ national-polls/"Doc View all selection data: AllolldataFast VisualizationIt is necessary to simply look at the data before figuring out the proportion of the projected votes for the 2016 U.S. presidential cam

How to better showcase your research results

story. Practical adviceMany statistical beamer templates for home latex make slides. It's handy for editing equations, and it's beautifully formatted. And it has great flexibility in the making of text colors, font selection, navigation bars, and graphics and animations. But I prefer the keynote of the Apple Computer. It's much more flexible in formatting, and it's able to use very personal fonts (such as my handwriting), and it can seamlessly combine animations and movies. There is a "Tmp

r8:learning paths for Data science[continuous updating ...]

Plyr. Step 4: Learn specific packages in r–data.table and DplyrThis is the WHERE fun begins! Here are a brief introduction to various libraries. Let ' s start practicing some common operations. Practice the Data.table tutorial thoroughly here. Print and study the cheat sheet for data.table Next, you can has a look at the Dplyr tutorial here. For text mining, start with creating a word cloud in R and then learn learn through this series of Tutorial:part 1 and Pa RT 2. For so

Every R point: All kinds of painting maps, all knowledge points, 90% people do not know!

The R language draws maps, which are often used in data analysis and can achieve very good results, and this section provides examples of how to use the R language tools to draw the ideal map.Examples of this section run smoothly under the R version 2.15.3 release, and other versions are pending.The code is as follows: The first small example# load the appropriate package, read the data, and then draw. Library (maptools), library (Ggplot2), China_map

In addition to matplotlib, what data visualization libraries does Python provide?

with the GGPLOT2 in the R language, it seems that two packages are used and the likelihood is developed by the same person! The original author also said on GITHUB that the PYTHON library will no longer be updated! However, ggplot2 is really a drawing artifact, which is almost the only reason I am still using the R language. Therefore, matplotlib is required no matter which library you want to use. Altho

Should I learn Python or R for statistics learning?

operator string • zoo performs regular and irregular time series operations • Ggvis, lattice, and ggplot2 for data visualization • Caret machine learning How to use Python? If your data analysis tasks require Web applications or code statistics to be integrated into the production database, you can use python as a fully sophisticated programming language, it is a great tool for implementing algorithms. Although the python package is still in its ea

R draw a 3D scatter chart

Currently, ggplot2 is mainly used for data visualization analysis. However, ggplot2 does not support 3D plotting, so you need to find other alternatives. The two alternatives found below are good, and the test is feasible, which is recorded here. Interactive 3D Library (RGL) with (mtcars, {plot3d (wt, DISP, mpg, Col="Red", Size = 3)}) Static 3D Library (scatterplot3d) with (mtcars, {scatterplot3d

Data visualization for R-R-Drawing system introduction to the three major drawing systems of 1-r

1. Introduction to the three major mapping systems of R1.1 Basic drawing System (base plotting systems)-Artist's palette: drawing suitable for blank canvas· need to implement plans; visualize the logic of drawing and analyzing data in real time-Two steps = figure + Modify/Add = Perform a series of functions-Suitable for drawing 2D graphs1.2 Lattice Drawing System (Lattice plotting systems)-draw = Use a function call once (a graph)-Ideal for interacting with observational variables: How variable

Dynamic installation library in R language

Dynamic installation library in R languageIn an R script, we used some libraries, but found that the operating environment does not have the library, if you can detect if there is no this package, do not automatically install that much better. and R is very convenient to support these, as long as the Internet.The code is as follows:site"http://cran.r-project.org"if (!require("ggplot2")) { install.package("ggplot2

R VS Python in Data science: The winner is ...

will only find R in the data Science environment, and on the one hand, Python is widely used in many fields as a common language. such as network development. This tends to favor ranking results in Python. And the result is some negative effect.When and how do I use r?R is primarily used when data analysis tasks require individual servers to calculate or analyze independently. Exploratory work is great, handy for almost any type of data analysis, and often provides you with the tools you need,

Teach you to learn R language

of its learning resources, such as online ggplot2 tutorials, Cheatsheet, and a teaching book written by Hadleywehan. The Ggvis package allows you to create interactive Web graphics using basic graphics syntax (see Tutorial). Do you know Hans Rosling Ted course? teach you how to use Googlevis (a Google chart interface) to reconstruct a chart. If you are having problems drawing data, this article will help you. You can see more visual resou

R Language Data Analysis series eight

R Language Data Analysis series eight--by Comaple.zhangAgain on the polynomial regression, this section again mentions the polynomial regression analysis, understand the fitting phenomenon, and in-depth cross-validation (cross-validation), regularization (regularization) framework, to avoid the occurrence of overfitting phenomenon, From a more in-depth perspective, this paper explores the theoretical basis and how to bring ideals into reality based on R.Knowledge points in this section, and data

Data analysis Sixth: Clustering assessment (cluster determination and contour factor) and visualization

the y-axis. An increase in the second figure may indicate the elbow standard. Library (effects) library ( sjplot) Library (Ggplot2) sjc.elbow (Data,show.diff = FALSE) From the elbow value diagram below, you can see that the inflection point of the curve is approximately around 5: 2, use the Nbclust () function to verify the elbow value From the upper elbow value graph, you can see that the inflection point of the curve is 3, and you can also u

The Trycatch inside R

We know that both Java and Python have error handling mechanisms, and Java is a try ... In the form of catch, Python is try ... Except form, this kind of grasping the wrong form is very good, there are similar things in R, that is the Trycatch function, just beginning is not know, and then the R Machine learning actual combat that book code to write a time to know, specific see how to use the put:(1) Crawl errorTryCatch (Libray (XX), Error=function (e) {print ("error occurred")})Results:[1] "err

R language Drawing

Turn http://www.cnblogs.com/jiangmiaomiao/p/6991632.html0 IntroductionR supports 4 types of graphics: base graphics, grid graphics, lattice graphics, Ggplot2. Where the Base graphics is the default graphics system for R.1 Basic graphics Functions plot ()The type parameter in the plot () command is used to clarify how the drawing is drawn, using the following type values: "P" for "points" "L" for "lines" "O" for "overlaid" (e.g., lines

R Language Learning Resources

Getting Started video tutorialsBasic R Language Course (1)-Quick Start for R language http://cos.name/videos/intro-2-r/Code#对象1 +1*3c (1,2,3,4,5) C (' HelloWorld ', ' I am a R user ') C ("hehe", "haha") 1:66:1exp (1:4) log (1:3) aRun results> #对象 > 1+1*3[1] 4> C (1,2,3,4,5) [1] 1 2 3 4 5> C (' HelloWorld ', ' I am a R user ') [1] "HelloWorld" "I am a R use R "> C (" hehe "," haha ") [1]" hehe "" haha "> 1:6[1] 1 2 3 4 5 6> 6:1[1] 6 5 4 3 2 1> exp (1:4) [1] 2.718282 7.389056 20.085537 54.598150>

Why do data scientists choose the Python language?

machine Learning course), and the syntax of the R language is pretty good in formula settings.2. Furthermore, it is the corresponding Python library of the static graphics library Ggplot2 and the interactive graphics library D3. The Matplotlib library is not easy to install, it is difficult to use, and it is not easily built for interactive graphics for the web.3. The third is the scalability of the numpy and pandas libraries when dealing with large

Python implementation of rollingregression (rolling regression analysis)

#-*-Coding:utf-8-*-"""Created on Sat 18 11:08:38 2018@author: Acadsoc"""Import Pandas as PDImport NumPy as NPImport MatplotlibImport Matplotlib.pyplot as PltFrom pyecharts import Bar, line, Page, overlapImport Statsmodels.api as SMFrom sklearn.preprocessing import Standardscaler# import PymssqlFrom Dateutil Import ParserImport CopyImport OSImport SysFrom featureselection import featureselectionPlt.style.use (' Ggplot ') # set GGPLOT2 paint style# Set

Sentiment:: Four months of the beginning of the graduate career ┭┮﹏┭┮r and the beauty of Python

learn, R, lucky to meet Lu Wenjun teacher, he is the great God of economic college, but also learned some learning methods, I belong to the kind of anxious character, the result. You know.. Is a tragedy, just no heroine, think Ha, have studied what, I am not easy to get started, oh right, now do not know how to get started, 罒 Omega 罒 steal laughter.The books are as follows : | | (time or double, forget almost)| | "R Language Beginner's Guide", "R language Combat", "multivariate statistical anal

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