rpy2 ggplot2

The two months have not written any code. Also did not do any big project, basically is to write in the previous project that uses the Ggplot2 visualization data to make some supplementary supplement, most technical difficulty all in Ggplot2 and the R language Excel processing here solves and summarizes. Then the amateur help people to modify a rvest written in the Amazon primitive reptile, spent two weeken

, the architecture is basically consistent, More emphasis on using R to achieve, the more rare place is to provide a good exercise."Data Mining with R learning with case studies""Machine Learning for Hackers"Two r books focusing on data mining, all based on the case, the demonstration code is very large. It will be a great achievement to follow it down."Data Mining explain using R"Using basic functions to implement a variety of machine learning algorithms is helpful in understanding the underlyi

In the R environment, different packages to draw maps is available. I lost the count by now; Surely, Spand Ggmap deserve consideration. Despite the great availability of R functions dedicated to this topic, in the past, when I needed to draw a very basic map of Italy with regions marked with different colours (namely a choropleth map), I had a bit of difficulties.My expectation is that building a choropleth map of Italy using R is a extremely trivial procedure, but my experience WA S different.

sample code (based on color grouping) is as follows:# Base functions: Colour set Group Ggplot (SAH, aes (x = ageyear, y = heightin, colour = Sex)) + # Scatter graph function geom_point ()Operation Result:The example code for the R language (based on the dot-form grouping) is as follows:# Base function: Shape set grouping Ggplot (SAH, aes (x = ageyear, y = heightin, shape = sex)) + # Scatter graph function geom_point ()Operation Result:Description: Customizable point shape, a total of about

Qplot means quick plot, which is part of the GGPLOT2 package, which needs to be loaded before the package is used.Qplot Parameters:Qplot (x, y = NULL, ..., data, facets = NULL, margins = FALSE, geom = "Auto", Xlim = C (Na, NA), Ylim = C (Na, na), log = "", main = null, Xlab = Deparse (Substitute (x)), Ylab = Deparse (substitute (y)), ASP = NA, stat = null, Position = NULL)Where: X and y represent the x-axis and y-axisFacets for paging:

First, the premise prepares the 1.R language pack: Ggplot2 package (Drawing), Recommenderlab package, reshape package (data processing) 2. Get data: You can download these free data sets at the University of Minnesota's Social Computing Research Center website, which links to HT tp://grouplens.org/datasets/movielens/, can also be downloaded through the network disk Https://yunpan.cn/Oc6R9apvCnVXGcAccess password E1AF. This includes a dataset and a des

) Removeoutdata result = Data[!data%in% boxplot.stats (data) $out] Return (Result) } 7. Use String Filter data Filterdata Rows=grep (Url,data$url) Return (Data[c (rows),]) } 8. Using Ggplot2 Drawing Ggplot2 provides very powerful features, if the plot series needs to be drawn many times, Ggplot2 can be a basic sentence, very worthy of learning applications. Put a

Big night, in Hefei study period a laboratory of QQ asked me an R language drawing problem, is asked to add value on the column chart, tried, and did not solve with R, but instead of using Excel, forcing lattice also do not reduce AH. Anyway > Library ("Ggplot2") Error in Loadnamespace (J does not exist in the addition:warning message: "Munsell" is the name of the package in the " Ggplot2" is the R versi

source JavaScript Chart library.There are two ways to install:Install.packages ("plotly")OrDevtools::install_github ("ropensci/plotly")The plotly package uses the function Plot_ly function to draw the interaction graph.If you plot a scatter plot relative to the iris data set, you need to set the mode parameter to "markers".Library (plotly) P If you want to draw an interactive box line diagram, you need to set the type parameter to box.Library (plotly) Plot_ly (midwest, x = percollege, color = s

those who want to get the basic and thought of r language and data mining, they want to use r language in practice to solve problems in school students and in-service workers.Syllabus:First Lecture: The Essentials of R languageIn order to gradually and cover the R language important and useful basic content principles, this talk from the beginning of the introduction of the R language, with the previous data processing as the core, with the actual case as the carrier, including the R language v

0 reply: many good-looking PYTHON image libraries are developed and encapsulated based on matplotlib! I have used seaborn, bokeh, and ggplot databases! Seaborn is biased towards statistical plot, especially linear plot, which is easy to use and simple. The entire syntax layer of seaborn will also be much simpler, and it looks nice to draw a picture without any modification. However, the drawing method is limited and not flexible enough. Bokeh uses js. Therefore, it focuses on interactive plotti

A: R itself is single-threaded, how to let its multi-threaded run up, improve the speed of computing? Playing parallel computing with parallel and foreach packetsAfter reading the above article will be. Plainly, to load the parallel package, and then rewrite your own code is OK.#-----With a strength to demonstrate R how multithreaded computingFunc n = 1Raw while (x > 1) {X n = n + 1}Return (c (raw,n))}#----Library (parallel)# Use System.time to return the time required to calculateSystem.time ({

# sample Datad The figure 1a does isn't draw any lines, while the figure of 1b works well.The key concept is a "group" in AES.The rule is simple: Geom_line () tries to connect data points this belong to same group. Different levels of factor variable belong to different group. So, by specifying GROUP=G in AES, the lines appear in Figure 1b.Figure 1c would help to understand more.In Figure 1c, all data points belong to Group=1, hence all data points is connected.REF:http://www.m

The 5th Chapter regression model: Predicting Web page trafficRegression model: Predict another DataSet with a known dataset, known as an input, also called a predictor or feature, and the data you want to predict is called an output. The regression model differs from the classification model in that the output of the regression model is a meaningful value.Benchmark model: Using mean as a prediction#machine learing for Heckers#chapter 5Library (Ggplot2

table covers most of R's knowledge, and Rstudio also publishes some quick-look tables to make r easier to learn. When you want to show the results, it may be a good idea to use Ggplot2 to visualize the data.R Cheat Sheet (Google drive)R Functions for Regression analysisR Reference CardR Functions for TIME series analysisR Reference Card for Data MiningR Cheat SheetData Analysis The Data.tableInteractive Web Apps cheatsheet by R StudioData visualisati

A line chart is a way to reflect a change in the trend, and its input data is generally a matrix.Single line DiagramSuppose there is such a matrix, the first column of the transcription starting site and its upstream and downstream 5 KB area, the second column h3k27ac decorated in these areas of abundance, want to draw a line chart display.Profile= "Pos; h3k27ac-5000;8.7-4000;8.4-3000;8.3-2000;7.2-1000;3.60;3.61000;7.12000;8.23000;8.44000;8.55000;8.5 "Read in DataProfile_text And then start draw

(), and Dcast (), but they can "knead" the data into various shapes. Melt itself means dissolution, decomposition, and its role in a data set is actually split data, its object can be an array, a data frame or a list. > Library (RESHAPE2) > Data (airquality) > str (airquality) ' Data.frame ': 153obs. of 6 variables: $Ozone: int 41 36 12 Na 8 na ... $ solar.r:int 118 149 313 na Na 299 ... $Wind: num 7.4 8 12.6 11.5 14.3 14.9 8.6 13.8 20.1 8.6 ... $Temp: int .... $Month: int 5 5 5 5 5 5 5 5 5 5 .

talk.3. Drawing and VisualizationAristotle said, "Humans prefer to watch more than other senses." As a result, drawing and visualization are a lot of people's attention and attention. So how do you learn R-drawing and data visualization? How to draw a histogram? How do I add a density curve to the histogram? I'd like to finish reading the following books and you'll get the general idea.First of all, the introduction of drawing can read the "R Graphics", personally think this is a more classic,

scientific computing use Networkx-is an efficient software used for complex networks. pandas-This library provides high-performance, easy-to-use data structures and data analysis tools. The Business Intelligence tool (Pandas Web interface) in Open Mining-python. PYMC-MCMC Sampling Toolkit. Zipline-python's algorithmic Trading library. pydy-full name Python dynamics, assisting with dynamic modeling workflows based on NumPy, SciPy, Ipython, and Matplotlib. sympy-symbol

Watervoles data from the HSAUR2 package for example. This data is a similarity matrix, which indicates the similarity of paddy rats in different regions. Load the data first and then analyze it with cmdscales.Library (GGPLOT2) data (watervoles, package = "HSAUR2") data (Watervoles) Voles.mds=cmdscale (watervoles,k=13,eig=t)The following calculates the proportions of the first two eigenvalues in all eigenvalues, in order to detect whether the distance