r ggplot2

# 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

Check table for rR's ecosystem has been expanding, and a lot of references are needed. R's fast-track 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 Mini

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

': 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 .... $ day:int 1 2 3 4 5 6 7 8 9 ...> Longdata=melt (Airquality,id.vars=c ("Ozone", ' Month ', "month", "Day"), Measure.vars=2:4) > str (longdata) ' Data.frame ': 459obs. of 6 variables: $Ozone: int 8 na ... $Month: int 5 5 5 5 5 5 5 5 5 5 ... $Mont H:int 5 5 5 5 5 5 5 5 5 5 ... $ day:int 1

reading you will find, wow, It turns out that R can do so much, and it's so concise. Reading this is almost there, and the rest of the estimate is something you're going to specialize in. Here's a general 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

, assisting with dynamic modeling workflows based on NumPy, SciPy, Ipython, and Matplotlib. sympy-symbol Math Python library. Statsmodels-python's statistical modelling and Econometrics library. Astropy-python Astronomy Program Library, community Collaborative writing Matplotlib-python's 2D drawing library. Bokeh-python's interactive Web Drawing library. Plotly-python and matplotlib collaboration Web Drawing Library. vincent-the python data structure into the Vega vis

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

Plotnine Csdn's edit and upload picture experience is too bad, more examples to plot-example to see. Https://github.com/has2k1/plotnine-examples Installation website: https://plotnine.readthedocs.io/en/stable/index.html Github:https://github.com/has2k1/plotnine Ggplot2 official website: http://ggplot2.tidyverse.org/reference/index.html#section-plot-basics Conda install-c conda-forge Plotnine # # Use Import

Nginx Log Example172.16.1.1 - - [04/Feb/2015:23:40:01 +0800] "POST /api/message/query HTTP/1.1" 200 52 "-" "Apache-HttpClient/4.2 (java 1.5)" "-" "message.test.com" "172.16.3.159" "-" "0.116" "-" "0.116" "-" remote_addr_ac_logon Remove the time, URL, request size, remove the sub(/\[/,"",$4) brackets in the period, and sub(/Feb/,"2",$4) replace the Fed with 2awksubfunction is used to replace the string, the statement is used alone, if the assignment statement is used, if a=sub(/Feb/,"2",$4) a=

Objective:Learn two variable analysis flow by exploring file PSEUDO_FACEBOOK.TSV dataKnowledge Points:1.ggplot syntax2. How to make a scatter chart3. How to optimize scatter plots4. Condition mean value5. Correlation of variables6. Sub-hubs diagram7. SmoothingBrief introduction:If you are exploring a single variable using a histogram to represent the relationship between the value and the whole, then using a scatter plot is more appropriate to explore the relationship between the two variables w

law, 80% of the benefits are often from 20% of the input, while the other 80% of the input only produced 20% of the benefits, which shows that the same investment in different places will have different benefits. It is feared that the drawing process of the Pareto chart is arranged according to the contribution degree from high to low, and the cumulative contribution degree curve is drawn. When the number of samples is large enough, the contribution usually presents a 20/80 distribution. The sc

clusters. The Sjc.elbow () function is used to draw the elbow value of the K-means cluster analysis, which calculates the K-means cluster analysis in the specified data frame, producing two graphs: one graph has different elbow values, and the other is the connection of each "step" on the y-axis, that is, drawing lines between the adjacent elbow values, The inflection point of the curve in the second figure may imply the "correct" number of clusters. Draw the value of the elbow of K-mean

Label:According to the characteristics of various industries, a variety of clustering algorithms are proposed, which are divided into several categories: hierarchy, Division, density, graph theory, grid and model. Among them, the density-based clustering algorithm is the most representative in Dbscan. Assuming a set of data, the R code of the generated data is as follows X1 0, Pi,length. out= -) Y10.1*rnorm ( -) X21.5+ SEQ (0, Pi,length. out= -) Y20.1*rnorm ( -) DataData.frame (C (X1,X2), C (y1

a box plot to see which points are outliers, outliers are judged on the basis of four-cent and four-bit distances.That is, the outliers exceed the four-digit 1.5 times-fold four-bit distance or below the four-digit 1.5 times-point distance.Example:Randomly generate a set of dataSet.seed (1234)Value =), rf (DF1 = 5, DF2 = 20))Draw the box plot and mark the outliers with red squaresLibrary (GGPLOT2)Ggplot (data = NULL, mapping = AES (x = ", y = value))

Label: HTTP color OS AR for SP data 2014 ad Lm function, you can use a thread relationship to establish the development trend between two data, that is, thread fitting, and use the predict function to use the results of this development trend for data prediction. fr=lm(Height~Weight,data=hw)coef(fr) Establish a thread fitting method based on weight to predict the height. A straight line defined by intercept and slope. Visualized display: library("ggplot