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streda 14. decembra 2011
Statistical Modeling, Causal Inference, and Social Science
Statistical Modeling, Causal Inference, and Social Science
BLOG by andrew gelman et al.
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rcurl | Tumblr
R, SPSS, Excel
R, reshaping
lexis longitudinal R
spss for dummies, scripps college
gelman - Bayesian statistics - logistic regressio...
reproducible research, literate programming
model validation - interpreting residual plots
visualization - categorical data - SAS - R
CrossValidation1_JDS_May2011.pdf tutorial from int...
regularized logistic regression - andrew gelman
Harrell cross validation - old doc 1998 logistic.v...
Statistical Modeling, Causal Inference, and Social...
RSS R Introduction Course
What are cross-validation and bootstrapping?
Rserve - TCP/IP interface to R - RoSuDa - Lehrstuh...
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Sweave, R, tutorials
R-Chart: 3 lines of R code to Process a Web Service
Bayesian Analysis for the Social Sciences
introduction.pdf (Objekt application/pdf)
Google Insights and RCurl » Dan Knoepfle's Blog
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One R Tip A Day
Computational Resources for Linguistic Research
Tutorials
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Importing data from an XML file into R - Stack Ove...
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R Tutorial Series: R Tutorial Series: Graphic Anal...
Normality tests – use with caution
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Testing for Normality using SPSS when you have onl...
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Statistics: Lecture Notes
Multiple Regression with Categorical Predictor Var...
Inferential Statistics
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Tips on Data Preparation :: Study Design and Biost...
Robin Beaumont - Introduction to Clinical Decision...
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