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Using r language to do normal distribution test _r language series

Reproduced from: Http://blog.163.com/zzz216@yeah/blog/static/1625546842012112012220292/?suggestedreadingwumii Excerpt from: Wu Xizhi: Nonparametric Statistics (second edition), China Statistics Publishing House, October 2006: p164-165 1, Ks.test ()For example, 0 is assumed to be N (15,0.2), then Ks.test (x, "Pnorm", 15,0.2). If not a normal distribution, you can also choose "Pexp", "Pgamma" and so on.2, Shapiro.test ()The Shapiro-wilk test of normal

Test of the normality of the R language

Test of the normality of the R languageNormal distribution Test with R language (2012-02-29-10:59:54) reprintExcerpt from: Wu Xizhi: Non-parametric statistics (second edition), China Statistical Publishing house, October 2006: p164-1651, Ks.test ()For example 0 is assumed to be N (15,0.2), then Ks.test (x, "Pnorm", 15,0.2). If not the normal distribution, you can also choose "Pexp", "Pgamma" and so on.2, Shapiro.test ()Shapiro-wilk tests can be conduc

Using R language to do normal distribution test _r

Excerpt from: Wu Xizhi: Nonparametric Statistics (second edition), China Statistics Publishing House, October 2006: p164-165 1, Ks.test ()For example, 0 is assumed to be N (15,0.2), then Ks.test (x, "Pnorm", 15,0.2). If not a normal distribution, you can also choose "Pexp", "Pgamma" and so on.2, Shapiro.test ()The Shapiro-wilk test of normal distribution can be carried out.3, Nortest BagLillie.test () can carry out more accurate Kolmogorov-smirnov tes

Normal test method _r

Http://www.xiaowanxue.com/up_files/201218184029.html Excerpt from: Wu Xizhi: Nonparametric Statistics (second edition), China Statistics Publishing House, October 2006: p164-165 1, Ks.test ()For example, 0 is assumed to be N (15,0.2), then Ks.test (x, "Pnorm", 15,0.2). If not a normal distribution, you can also choose "Pexp", "Pgamma" and so on.2, Shapiro.test ()The Shapiro-wilk test of normal distribution can be carried out.3, Nortest BagLillie.t

R language: Multivariate linear regression and model checking

= Fertility ~ Agriculture + education + Catholic +# # infant.mortality, data = Swiss)### # Residuals:# # Min 1Q Median 3Q Max# # -14.676-6.052 0.751 3.166 16.142### # coefficients:# # Estimate STD. Error t value Pr (>|t|)# # (Intercept) 62.1013 9.6049 6.47 8.5e-08 * * *# # Agriculture-0.1546 0.0682-2.27 0.0286 *# # Education-0.9803 0.1481-6.62 5.1e-08 * * *# # Catholic 0.1247 0.0289 4.31 9.5e-05 * * *# # infant.mortality 1.0784 0.3819 2.82 0.0072 * *## ---# # signif. codes:0 ' * * * ' 0.001 ' *

CODINGTMD ' s Reading List

, N Goodman, 1984 Wait-free synchronization. M Herlihy ..., 1991 Zookeeper:wait-free Coordination for Internet-scale systems. P Hunt, M Konar, FP Junqueira, 2010 Consistency Highly Available transactions:virtues and limitations. Peter Bailis, Aaron Davidson, Alan Fekete, Ali ghodsi, Joseph M. Hellerstein, Ion Stoica, 2013 Consistency tradeoffs in modern distributed Database System Design. Daniel J. Abadi, 2012 CAP Twelve years later:how the "Rules" has Changed. Eric Brewer

R language detection data normal distribution _r language

Input Comments > NX Randomly generates 10 normal distributions of data > Nx View NX [1] -0.83241783-0.29609562-0.06736888-0.02366562 0.23652392 0.97570959 [7]-0.85301145 1.51769488-0.84866517 0.20691119 View the results > Shapiro.test (NX) Shapiro-wilk method for normal state test Shapiro-wilk normality Test Data:nx W = 0.9084, P-value = 0.2699 Test results because W is close to 1 The P value is greate

Rstudio-methods for dealing with missing values _r language

circumstances. For data that obeys normal distribution, the average value is the best. For the distribution of skewness or outliers, the median is a better indicator to represent the trend of the data center. For the distribution of skewness or outliers, the median is a better indicator to represent the trend of the data center. algae[48, "mxph"] Algae[is.na (Algae$chla), "Chla"] Note: The test data in R obeys the normal distribution method can refer to-use R to detect whether the data confor

The first chapter "Introduction" of modern software engineering--the 10th question--Zhang Gongcheng

Software, software Engineering, water Fall (waterfall model), Code complete, ... The source of such nouns http://en.wikipedia.org/wiki/John_TukeyAsk "Software", "engineering", waterfall models, Code complete,agile methodology How these words appear-when, where, and by whom. http://linux.cn/article-4778-weibo.html, http://buzzorange.com/techorange/2015/01/26/margaret-hamilton/,/http En.wikipedia.org/wiki/margaret_hamilton_%28scientist%29Software:1958 was presented in his paper "The Teaching of Co

25 exquisite flower photos

Flowers make the world of our lives colorful. They are the most pleasing to the eye of nature. Today, I will share 25 exquisite flower photos with you. Photo credit: Rosemary Photo credit: niclaas Hamid Photo credit: niclaas Hamid Photo credit: Macrogrfiks Photo credit: Macrogrfiks Photo credit: Nicolas Evariste Photo credit: Nicolas Evariste Photo credit: SureshKumar Photo credit: Alan Shapiro Photo credit: Alana

Statistical tests--normality test and variance homogeneity test _r

First, the basic principles of statistics12 Sample t Test Condition: ① Both obey normal distribution, ② two population variance is equal, namely variance homogeneity.2 pairs of T-Test conditions: The difference of the overall normal distribution can be. Two, using R for normal test and variance homogeneity test 1 Normality Test 1.1①shapiro-wilk Inspection (w test): N≤50;②shapiro-francia inspection (w ' test

CSS vs JS Animation: Who is faster?

This article translates from the Julian Shapiro CSS vs. JS Animation:which is Faster?. Julian Shapiro is also the creator of Velocity.js. This is a very efficient, easy-to-use JS animation library. He has a high attainments in web animation. How can Javascript animations always be as fast or even faster as CSS transition? What secret is it? How did Adobe and Google make their rich media mobile sites compa

JS version of RSA algorithm

rsa, a suite of routines for performing RSA Public-key computations inJavascript.//Requires Bigint.js and Barrett.js.//Copyright 1998-2005 David Shapiro.//re-use, abuse, copy, and modify this code to your likingPlease keep the This header.//thanks!//Dave Shapiro[email protected]function Rsakeypair (encryptionexponent, decryptionexponent, Modulus){THIS.E = Bifromhex (encryptionexponent);THIS.D = Bifromhex (d

7 free GUI image interface tools in R Language

language, that isnot only very powerful, but also extensible, and for which dozens of extensionsalready exist (4) console with syntaxhighlighting (5) script editors (6) Workspace view which allowsusers to example and manipulate all objects in the r Workspace (7) built-in editor for data. Frames (8) Analysis: including: 1) Correlation 2) crosstabs 3) Descriptive Statistics 4) item response theory 5) means 6) Miscellaneous tests 7) moments 8) outlier tests 9) Regression 10) Time Series 11) varian

6 tips for designers for translating your comps into XAML

Document directory Pre-tip: Work in Blend Tip 1: two layers of semi-transparent gradients is fine. Twelve layers of semi-transparent gradients is not Tip 2: The grid layout is your new best friend. Understand it. Use it. Love it. Tip 3: Use borders, not rectangles Tip 4: Draw simple vector art inside blend. Tip 5: (Silverlight only) plan on using only a few Fonts Tip 6: work in "split" Mode in blend and goof around with the XAML every now and again 4th February 2009, am by Matthias

Python and R data analysis/mining tools Mutual Search

Ridge return Sklearn.linear_model. Ridge Mass::lm.ridge, Ridge::linearridge LASSO Sklearn.linear_model. Lasso Lars::lars Minimum angle regression Sklearn.linear_modle. Lassolars Lars::lars Robust regression Statsmodels. RLM Mass::rlm Hypothesis Testing category Python R T test Statsmodels.stats.ttest_ind, Statsmodels.stats.ttost_ind, statsm

Wavelet Transform & Image Compression

construction. Mallat studies the discrete form of wavelet transform, and applies the corresponding algorithm to the decomposition and reconstruction of images, which lays a foundation for the subsequent wavelets image compression. In the 90 's, the research of image compression using wavelet has received unprecedented attention. This period is the time when the internet is booming, so how to adapt to the characteristics of the network image coding has been paid attention to. In 1993,

Personal blog Job Week1

Q: Read the entire textbook quickly, list 5-10 questions you don't understand, and post it on your personal blog. If the needs of users are too harsh, it is necessary to reduce the efficiency of software to meet them? Does the team have to "program" and "test" clearly separate when doing engineering work? Is it permissible to modify a part of the design on the way to the project? Or does it require that all designs be fixed and not changed before the project is started? How

CSS VS JS Animation, which is faster [translate]

English Original: Https://davidwalsh.name/css-js-animationThe original author Julian Shapiro is the author of Velocity.js, Velocity.js is an efficient and easy-to-use JS animation library. In the "JavaScript Web page animation design" In the book of this library has a lot of more specific analysis of velocity and JS animation is interested in a look.How can JavaScript-based animations always be as fast or even faster as CSS transition? What secret is

R language Notes functions for calculating descriptive statistics

2.581 3.325 3.610 4.048 5.293lowest:1.513 1.615 1.835 1.935 2.140, highest:3.845 4.070 5.250 5.345 5.424--------------------------------------------------------------------------------------------------------------- -------------------------------------------------------->--------------------------------------------------------------------The package has a function called STAT.DESC () that calculates a wide variety of descriptive statistics. UseThe format is:> Stat.desc (mtcars[vars],basic=true

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