ggplot2 correlation

The reciprocal of expected sort based on hierarchical correlationSummaryMany of the indicators for evaluating the results of information retrieval can be used in binary correlation situations, and there is only one indicator that can usually be used for hierarchical correlation, namely, the cumulative gain (DCG) of the discount. One drawback of this indicator is its added nature and potential independence h

Transferred from: http://blog.csdn.net/wsywl/article/details/5727327Since the statistical correlation coefficients used are relatively frequent, here are a few articles to briefly introduce these coefficients.Correlation coefficient: Examine the degree of correlation between two things (what we call variables in the data).If there are two variables: X, Y, the meaning of the final calculated

Transferred from: http://blog.csdn.net/wsywl/article/details/5859751Spearman Rank (spearman rank) correlation coefficient1. IntroductionIn statistics, the Spearman grade correlation coefficient is named after Charles Spearman and is often represented by the Greek letter ρ (rho). The Spearman level correlation coefficient is used to estimate the

Read Catalogue Directory 1 Basic description of the algorithm 2 The application scenario of the algorithm. 3 Advantages and disadvantages of the algorithm 4 input data, intermediate results, and output results of the algorithm 5 Code reference for the algorithm 6 shares Correlation and regression: How's My Line?Author Bai NingsuOctober 25, 2015 22:16:07 Absrtact: The statistical series in the eyes of prog

Reference: http://baike.baidu.com/view/172091.htm I. Correlation Coefficient Definition Correlation coefficient, also known as linear correlation coefficient, is an indicator to measure the degree of linear correlation between variables. The sample correlation coefficien

Pearson correlation coefficientExamine the degree of correlation between two things (what we call variables in the data), simply by measuring whether two data sets are on a line. The formula is: or ORn indicates the number of variables to be evaluated.The value of correlation coefficient r is between –1 and +1, i.e. –1≤r≤+1. The properties are as follows:

Ossim Platform Security Event correlation analysis Practice in the "open source safe operation Dimensional plane Ossim best practices" in the book, the event association is the core of the entire Ossim Association analysis, for the Ossim Event Association requires massive processing power, It is mainly convenient to store the logs collected from the device in time, and can correlate matching and output, and then show through Webui. From the real-time,

Continuing our discussion of core Siem and log management technology, we now move into event correlation. this capability was the Holy Grail that drove most investigation in early Siem products, and probably the security technology creating the most consistent disappointment amongst its users. but ultimately the ability to make sense of the wide variety of data streams, and use them to figure out what is under attack or compromised, is essential to an

Reprinted from: http://www.pinzhi.org/thread-7762-1-1.htmlCorrelation coefficients r-sq and modified correlation coefficients r-sq (adj) in minitab mean, calculation formula and differenceIn Minitab to do regression equations , or similar operations, often encounter multivariate correlation coefficient r-sq and modified multivariate correlation coefficient r-sq (

Correlation analysis is an analytical method for a lot of help for further analysis, and the relationship between the two variables can be visualized visually through simple scatter plots.1:corr procedure solves the relationship between two consecutive variables2: Column -by-table analysis generally studies whether there is correlation between discrete variables or qualitative variables, and realizes by Pro

Percent of food sales data correlation analysis clear;% initialization parameters Catering_sale = '. /data/catering_sale_all.xls '; % dining data, containing other attributes index = 1; % of sales data in the column is read in data [num,txt] = Xlsread (catering_sale);% read num%% correlation analysis corr_ = Corr (num);%corr_= linear dependent (num) percent print result rows = Size (co rr_,1);% rows = Fetch

We have worked hard to make the form, of course, to make analysis, certainly can not be such a few data. Commonly used analytic methods are graphs, although it seems intuitive, but for non-authors, it is obviously not so convenient to understand the meaning. Now, let's use the function to figure out the correlation coefficient. Case demonstration ① start the Excel2013, open the table, and enter the formula in the cell following the

reflected random variable Xi, covariance of XJ. 2. covariance is the second-order statistical feature between variables. If the correlation between different components of a random vector is very small, the resulting covariance matrix is a diagonal matrix. For some special applications, in order to make the length of the random vector small, we can use the principal component analysis method to make the covariance matrix of the transformed variable

Sometimes we need to study the correlation of certain properties and specified attributes in the dataset, obviously we can use the general statistical method to solve the problem, the following is a brief introduction of two correlation analysis methods, not detailed methods of the process and principle, but simply to do an introduction, because the understanding may not be very deep, I hope you understand.

This article mainly simply records the so-called "linear correlations".The linear correlation object is the vector r^n, for the vector equation, if said x1v1 + x2v2 + ... +xmvm = 0 (where Xi is a constant, vi is a vector) has and only one trivial solution, then we call the M-vector set {V1,V2,V3...VM} is a linear correlation set, conversely, It is said that the vector set {v1,v2,v3,... VM} is linearly indep

1. covariance is a statistical indicator used to measure the risk of a specific investment project in a portfolio relative to another investment project. The common point is the degree of return on the two projects in the portfolio, positive numbers indicate that one of the two projects has a higher return rate, and the other has a higher return rate, which changes in the same direction. If it is a negative number, one goes up and the other goes down, indicating that the return rate changes in t

① start the Excel2013, open the table, and enter the formula in the cell following the correlation coefficient: =correl ($B $: $B $13,c2:c13) ② carriage return, get results 0.75114738. The significance of the result I'll explain it to you later. ③ fills the cell to the right and completes the data calculation. Formula description Correl (array 1, array 2): Returns the correlation co

Study on the correlation coefficient of Pearson's accumulated momentPearson correlation coefficients (Pearson Correlation coefficient) are often used when doing similarity calculations, so how do you understand the coefficients? What is its mathematical nature and meaning?Pearson correlation coefficient understanding h

Hibernate's one-to-one correlation is divided into one-to-one correlation based on foreign key and one-to-one correlation relationship based on primary key. In this article, we use the example of Department and department manager to illustrate that one department corresponds to the only department manager, and one department manager corresponds to the only depart

Commodity correlation AnalysisAssociationRelevance: Mainly used in the Internet content and documents, such as search engine algorithm documents in the relationship between.Association: It is used on the real thing, such as the correlation between the goods on the e-commerce website.Support: The probability that a dataset contains several specific items.For example, the number of beers and diapers in a 1000