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2. List of statistical software - Wikipedia

   en.wikipedia.org/wiki/List_of_statistical_software

   R – free implementation of the S (programming language) Programming with Big Data in R (pbdR) – a series of R packages enhanced by SPMD parallelism for big data analysis; R Commander – GUI interface for R; Rattle GUI – GUI interface for R; Revolution Analytics – production-grade software for the enterprise big data analytics

3. File:R histogram sample mean.pdf - Wikipedia

   en.wikipedia.org/wiki/File:R_histogram_sample...

   Download QR code; In other projects Appearance. ... R histogram sample mean. Items portrayed in this file depicts. creator. some value. author name string ...

4. RStudio - Wikipedia

   en.wikipedia.org/wiki/RStudio

   RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.

5. R (programming language) - Wikipedia

   en.wikipedia.org/wiki/R_(programming_language)

   R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

6. R package - Wikipedia

   en.wikipedia.org/wiki/R_package

   R logo. R packages are extensions to the R statistical programming language.R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).

7. Sample mean and covariance - Wikipedia

   en.wikipedia.org/wiki/Sample_mean_and_covariance

   The sample covariance matrix has in the denominator rather than due to a variant of Bessel's correction: In short, the sample covariance relies on the difference between each observation and the sample mean, but the sample mean is slightly correlated with each observation since it is defined in terms of all observations.

8. Bootstrapping (statistics) - Wikipedia

   en.wikipedia.org/wiki/Bootstrapping_(statistics)

   Given an r-sample statistic, one can create an n-sample statistic by something similar to bootstrapping (taking the average of the statistic over all subsamples of size r). This procedure is known to have certain good properties and the result is a U-statistic. The sample mean and sample variance are of this form, for r = 1 and r = 2.

9. Sample mean - Wikipedia

   en.wikipedia.org/?title=Sample_mean&redirect=no

   Pages for logged out editors learn more. Contributions; Talk; Sample mean