# Stat Tools

Stat calculators:

http://vassarstats.net/index.html

http://www.mathcs.org/java/programs/index.html

MSTAT is can be free installed and has good Analysis of Categorical Data

http://in-silico.net/tools/statistics/fisher_exact_test

http://www.quantitativeskills.com/sisa/

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Statistics book with proofs (J. Laurie Snell and  Grinstead  )

http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/book.html

http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/amsbook.mac.pdf

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The Central limit theorem simulator

Beta distribution Calculator

Beta Curve

Martin’s Statistics & Mathematics Software

http://www.sfu.ca/~andresen/stats.html

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GIS

GEODA  http://geodacenter.asu.edu/geoda/16x_windows

http://en.wikipedia.org/wiki/CrimeStat

http://www.giswebsite.com/pubs/200307/nr200307_p2.html

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http://en.wikipedia.org/wiki/List_of_statistical_packages

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In R from Install Packages menu choose deducer

In R from Install Packages menu choose Rcmdr

In R from Install Packages menu choose rattle

JGR has a context sensitive editor

In Rattle  :  There is no data entry

use data tab and choose the input variables,

use explore tab to see the correlation matrix,

choose targets in data tab,

use the model tab to generate the correlation equation

Data mining with rattle http://rattle.togaware.com/rattle-screenshots.html

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Deducer  No 3d plot

nice correlation matrix in text and graphic mode with pdf output:)

nice contingency table and chi-sqare

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PSPP for stat compatible with SPSS has correlation matrix under bi-variate correlation

http://www.gnu.org/software/pspp/

if not

1st-SOFA  has good Chi squared

2nd- R->JGR->library(Rcmdr)+Rattle

Install R

Install R packages and add Rcmdr

Install  R packages and add rattle

to make loading of GUI automatic Navigate to R’s etc directory on your hard drive. It should be in a location such as: “C: \Program Files \R \R-2.15.0 \etc. In the
etc directory, there should be a file called Rprofile.site. Open this file using a text editor such as Notepad,
Wordpad, or Word. At the end of this file, you need to add the following lines, exactly as they are typed
below:
local({
old <- getOption(“defaultPackages”)
options(defaultPackages = c(old,”Rcmdr”))
})

local({
old <- getOption(“defaultPackages”)
options(defaultPackages = c(old,”rattle”))
})

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to run JGR in R

If JGR doesn’t run in R

Install  R packages and add Deducer

Install R packages rJava

Install R packages JGR

Sys.setenv(JAVA_HOME=’C:\\Program Files\\Java\\jre1.8.0_25′)
library(rJava)

library(JGR)

JGR()

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To Have context sensitive IDE and two GUI applications (RKWard and Deducer)

RKWARD is an IDE GUI context sensitive (not very powerful in term of stat capabilities)

install rkward will install r

goto setting-manage R packages and add Deducer

goto setting-manage R packages and JGR and rJava

JGR()

In JGR package manager make the packages you need load as default

now you have a context sensitive two IDE

Everytime start Rkward and type

library(JGR)
JGR()

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Rstudio is NOT context sensitive

Inzight Initially designed for New Zealand high schools, iNZight now extends to multivariable graphics, time series and generalised linear models (allows for complex survey designs)

https://www.stat.auckland.ac.nz/~wild/iNZight/

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PPSP has a nice correlation matrix but deducer is better

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3rd- PSPP does a beautiful Chi squared when you do cross tab

 Age * Habit [count, row %, column %, total %]. Habit Age Not smoke Total Young 4.00 1.00 5.00 80.00% 20.00% 100.00% 80.00% 16.67% 45.45% 36.36% 9.09% 45.45% old 1.00 5.00 6.00 16.67% 83.33% 100.00% 20.00% 83.33% 54.55% 9.09% 45.45% 54.55% Total 5.00 6.00 11.00 45.45% 54.55% 100.00% 100.00% 100.00% 100.00% 45.45% 54.55% 100.00%

 Chi-square tests. Statistic Value df Asymp. Sig. (2-tailed) Exact Sig. (2-tailed) Exact Sig. (1-tailed) Pearson Chi-Square 4.41 1 .04 Likelihood Ratio 4.75 1 .03 Fisher’s Exact Test .08 .07 Continuity Correction 2.23 1 .14 N of Valid Cases 11

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SOFA Statistics (good chi square and correlation between two vars) it has Kruskal-Wallis H test and Mann Whitney U Test for ordinal data

http://www.sofastatistics.com/home.php

PSPP interesting Chi square analysis for agree and disagree + cluster analysis   (no plots)

http://www.gnu.org/software/pspp/

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RKWard is a separate easy to use and easily extensible IDE/GUI for R.

http://sourceforge.net/apps/mediawiki/rkward/index.php?title=Main_Page

http://sourceforge.net/apps/mediawiki/rkward/index.php?title=Screenshots

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To learn R programming and data science

https://github.com/swirldev/swirl_courses

Get R

Install Rstudio

install.packages(“swirl”)

library(“swirl”)

swirl()

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All Probability distributions

http://www.predictiveanalyticstoday.com/top-30-free-statistical-software/

http://freestatistics.info/?p=stat

http://r.iq.harvard.edu/docs/zelig.pd

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Network visualization

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What statistics that is possible in .NET? ( regression,pvalue ? )

StatisticFormula.Correlation

https://msdn.microsoft.com/en-us/library/system.windows.forms.datavisualization.charting.statisticformula.correlation%28v=vs.110%29.aspx

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Chart.DataManipulator.FinancialFormula

https://msdn.microsoft.com/en-us/library/dd456655%28v=vs.100%29.aspx

Examples: One chart can have many curves

Chart1.DataManipulator.FinancialFormula (FinancialFormula.Forecasting, “2,40,true,true”, “Series1:Y”, “Series2:Y,Series3:Y,Series3:Y2”);

Chart1.DataManipulator.FinancialFormula(FinancialFormula.Forecasting, “Linear,0,false,false”, Chart1.Series[“amir series 1”], Chart1.Series[“Trendline 1”]);
Chart1.DataManipulator.FinancialFormula(FinancialFormula.Forecasting, “Linear,0,false,false”, Chart1.Series[“amir series 2”], Chart1.Series[“Trendline 2”]);

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Azure

https://msdn.microsoft.com/en-us/library/azure/dn905978.aspx

Chart.DataManipulator.FinancialFormula(FinancialFormula.Forecasting,“RegressionType,Period,ApproxError,ForecastError”,“Historical”,
“Forecast,UpperError,LowerError”)

Data mining tools

http://eric.univ-lyon2.fr/~ricco/tanagra/en/tanagra.html

http://orange.biolab.si/

http://www.cs.waikato.ac.nz/ml/weka/

http://alphaminer.software.informer.com/2.0/