ggplot2 r tutorial

-get update sudo apt-get upgrade. Install R Sudo apt-Get install R-base-Dev Install rjava Sudo R cmd javareconf Sudo R to launch rterm. issue install. Packages ('rjava', dependencies = true) to install rjava. (Installation of rjava needs root permission so sudo it is needed. sudo R is also needed whenever you want to use rjava in rterm) Sudo R to launch rtern whenever rjava library needs to be used. There is another way to install rjava. First Run 'sudo chmod-r 777/etc/R'. The do all the

missing values 33115.8.1 delete in pairs 33115.8.2 simple (non-random) interpolation 33215.9 conclusion 332Chapter 2 advanced graphics 16th16.1 four graphics systems in R 33316.2 lattice package 33416.2.1 condition variable 33816.2.2 panel function 33916.2.3 grouping variable 34216.2.4 graphic parameters 34516.2.5 page placement 34616.3 ggplot2 package 34716.4 Interactive Graphics 35116.4.1 interaction with graphics: Identification point 35116.4.2 pl

R language learning resources, r Language Learning Getting started video tutorial R language beginner course (1)-R language Quick Start http://cos.name/videos/intro-2-r/ Code # Object 1 + 1 * 3c (1, 2, 3, 4, 5) c ('helloworld', 'I am a R user') c ("hehe", "haha") 1: 66: 1exp () log () a Running result > # Object> 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 user"> c ("hehe", "haha ") [1] "hehe" "haha"> [1] 1 2 3 4 5 6> 6[ 1] 6

multivariate data, and more than 200 pages of content"R Language Combat (2nd edition)" Focus on practicality, is a comprehensive and meticulous r guide. The authors not only highly summarize the powerful functions of the R language, but also show a variety of practical statistical examples, and provide a complete approach to the messy, incomplete and non-normal data that is difficult to analyze with traditional methods. The 2nd edition adds 6 chapters, covering time series, clustering, classifi

Self-Learning R language also has a small two months, but the current feeling to use it is still more difficult, in Excel easy to set up the chart, in the R to achieve a more laborious, this is just want to make their own figure more tall on the point, Ah, still need to work hard.The current practice is, roughly read a few books about R, and then think of the actual learning from the beginning may be more effective, but r of the Chinese material is less than most of the English site to search, a

Bar Chart:http://bl.ocks.org/mbostock/3885304This is a basic form of a histogram. axis is the axis;tickets is the ruler on the axis, tickets the second parameter can make the number of [0, 1] appear as a percentage;rangeroundbands in [0, Width] on the interval division, just suitable for the histogram, rangepoints in [0, Width] on the point division;transform is the number of transformation coordinates relative to the parent node;The function type executes before the load TSV file, and the progr

If you haven't deployed the Rstudio server yet, look here:http://blog.fens.me/r-rstudio-server/After assigning a good user, and setting up a group,You can use. Libpaths () to see the library path.libPaths()[1"/home/xxx/R/x86_64-pc-linux-gnu-library/3.0""/usr/local/lib/R/site-library" [3"/usr/lib/R/site-library" "/usr/lib/R/library"Where the "/usr/lib/r/site-library" path is where all users share the library, so you want to share a library as long as the package is

highlight some of the states that has had more difficulties than others Click/tap to "Embiggen". I kept the same dimensions that Andy do but unlike Matt's creation this was a plain ol ' PNG as I didn ' t want to deal with Web fonts (I ' m on a Museo Sans condensed kick at the moment, but don ' t has it in my TypeKit config yet). I went with official annual unemployment numbers as they could be calculated/adjusted differently (i-didn ' t check, but I Kne W that data source existed, so I use

dir.Introduction Package:Library (STRINGR) library (PLYR) library (lubridate) library (GGPLOT2) library (reshape2) library (igraph)No packages are to be installed by command install.packages ("Extension Pack name").To read the chat log file to memory:Qqsrcdata"QQGroup.txt", encoding="UTF-8")Here we do not care about the chat content, only look at the time and the speaker, so we put something like "2016-04-18 20:04:20 I'll kill who (66554432)" Such co

0MississippiNA 0MissouriNA 0MontanaNA 0NebraskaNA 0NevadaNA 0 ' New Hampshire 'NA 0 ' New Jersey 'NA 0 ' New Mexico 'NA 0 ' North Dakota 'NA 0 ' Rhode Island 'NA 0 ' South Carolina 'NA 0 ' South Dakota 'NA 0VermontNA 0VirginiaNA 0 ' West Virginia 'NA 0WyomingUse the software r3.2.5+rstudio-0.99.893 to analyze the code as follows:Deifen. RLibrary (GGPLOT2) LBJ Read. Table ("G:/myproject/rdoc/unit2/rchap6/lbj.txt", Heade

need an esoteric statistical model for calculations, you might find it on Cran-you know, Cran called the integrated R-File network (Comprehensive r Archive Networks) is not for no reason. When it comes to analysis and plotting, nothing is better than Ggplot2. And if you want to take advantage of features that are more powerful than what your machine provides, you can use SPARKR bindings to run Spark on R.However, if you are not a data scientist and h

network (Comprehensive r Archive Networks) is not for no reason. When it comes to analysis and plotting, nothing is better than Ggplot2. And if you want to take advantage of features that are more powerful than what your machine provides, you can use SPARKR bindings to run Spark on R.However, if you are not a data scientist and have not used Matlab, SAS, or octave before, you may need to tweak it to use R for efficient processing. Although R is good

example code for the R language is as follows:# base function Ggplot (BOD, AES (x = time, y = demand)) + # line graph function: Linetype set linear geom_line (Linetype = "dashed", size = 1, colour = "Orange")Operating effect:Line chart Confidence fieldThis example uses the following test data set:The drawing method is called the Geom_ribbon function of Ggplot2, which can draw a "band". We can specify the upper and lower bounds of the band as confid

follows: Male friend: 37.65% Female friends: 59.23% Friend of unknown gender: 3.12% Ah, accidentally exposed the fact that many female friends exist. But why am I still a wang ?! Well, let's use the R to draw a graph. (The Python plot is really unbearable and the code will not be put ): City distribution of friends After carefully observing the friends list, we found that it also contains friends nickname, province, city, personal profile, and other data, which can be used to analyze the distr

There are four frameworks for generating graphs, basic graphs, meshes, grids, and Ggplot2 in R.Visualization of categorical data using bar, point, column, spine, treemap, pie, and 40 percent chartsVisualization of continuous data Using box plots, histograms, scatter plots and their variants, Pareto graphs==============================================I. Visualization of categorical data1. Bar ChartThe bar chart can be implemented through the Barplot fu

, self-help sampling, K-fold cross-validation and so on. Next you can use function Evalute () to evaluate the performance of multiple evaluation algorithms using the evaluation plan.2. Example AnalysisLibrary (Recommenderlab)Library (GGPLOT2)# #数据处理与数据探索性分析Data (Movielense)Image (Movielense)# get ratingsRatings.movie Summary (ratings.movie$ratings)# # Min. 1st Qu. Median Mean 3rd Qu. Max.# 1.00 3.00 4.00 3.53 4.00 5.00Ggplot (Ratings.movie, AES (x = r

, theta3 represent three parameters to be estimated, start sets the parameter initial value, and the trace is set to show the iteration process. The NLS function uses the Gauss-newton method to find the Extremum by default, the first column in the iterative process is the RSS value, and the next three columns are the parameter estimates. The return result is then returned with summary.Library (CAR) pop.mod1 Another easy way to do this is to use the built-in self-boot model (self-starting Models)

Idea steps:1. Take the time data out from data.2. Extract the date data from the time data.3, according to date data to summarize the daily number of messages.4, using Ggplot2 to draw.#从data中获取时间信息time Final Build:R language Combat-how to analyze QQ Group Records 2-Daily Information Quantity chart

files)5.R Language Integration development tool Rstutio installation use and R language package installation loading instructions6. Case: Installing the GGPLOT2 package and plotting scatter plots and histogram usageobject and vector vectors in 7.R8.R Central Plains Sub-vector detail and vector propertiesWhat is a function in 9.R and the definition of a function is used10. Project Combat One: Casting dice (a) function and object definition use11. Proj

$rate_good1Df1$rate_bad1if (descending==1) {Df2}else if (descending==0) {Df2}Df2$good2Df2$bad2Df2$cum_good2Df2$cum_bad2Df2$rate_good2Df2$rate_bad2 rate_goodrate_badDf_ksDf_ks$kslif (n>l) ndf_ks$tilequsqusdf_ksdf_ks$tileDf_0Df_ksM_ksPopM_goodM_badLibrary (GGPLOT2)PlotksGeom_line (Aes (Tile,rate_bad), colour= "Red2", size=1.2) +Geom_line (Aes (Tile,rate_good), colour= "Blue3", size=1.2) +Geom_line (Aes (TILE,KS), colour= "Forestgreen", size=1.2) +Geom_v