R package version 1.0-5.## http://CRAN.R-project.org/package=lme4#### A BibTeX entry for LaTeX users is#### @Manual{,## title = {lme4: Linear mixed-effects models using Eigen and S4},## author = {Douglas Bates and Martin Maechler and Ben Bolker and Steven Walker}, ## year = {2013},## note = {R package ve...
Importance analysis Tutorial: Importance analysis Statistics, Sensitivity, and Uncertainty Analysis Statistical functions Statistics Probability Prob Frequency Uncertainty Setup dialog What's new in Analytica 4.0? Function calls and parameters 分类: ...
RStudiois a free and open source integrated development environment for R. It can be used on a desktop computer and as a server version. The RStudio project started in 2011 and is a commonly used IDE for R. Installing RStudio server on the Hadoop master node plus using the...
(2002). Teaching Bayesian reasoning: an evaluation of a classroom tutorial for medical students. Medical Teacher, 24, 516–521. Article Google Scholar Labarge, A. S., McCaffrey, R. J., & Brown, T. A. (2003). Neuropsychologists’ abilities to determine the predictive value of ...
This tutorial will introduce the use of Python for statistical data analysis, using data stored as Pandas DataFrame objects. Much of the work involved in analyzing data resides in importing, cleaning and transforming data in preparation for analysis. Therefore, the first half of the course is comp...
Detailed sets of tutorials in R will be provided. Each tutorial will walk you through the logic of social network tools using real-world social network data, with the goal of developing the tools needed to understand where these social structures come from and how they affect the social world...
Using this erroneous data, the process was often adjusted in the wrong direction - adding to instability rather than reducing variability. See the Measurement Systems Analysis section of the Toolbox for additional help with this subject. 4. & 5. Initiate Data Collection and SPC Charting...
Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of statistical methods to machine learning, summary stats, hypothesis testing, nonparametric stats, resampling methods, and much more. About the Ebook: Read on all devices: English...
This book provides a linguist with a statistical toolkit for exploration and analysis of linguistic data. It employs R, a free software environment for statistical computing, which is increasingly popular among linguists.
Students were instructed to use video software to record what they had done during the tutorial time. A survey was then presented to the students. The data were analyzed by using partial least squares structural equation modelling. It was found that student engagement in LGV was positively ...