OCL Consulting

OCL Consulting Training in Microsoft Office applications, consulting in IT Project Management, Business Process Re-Engineering, Business Analysis Business Intelligence

05/01/2018

88% of all spreadsheets have errors. So probably every one of us has made mistakes in Excel. But probably not as fatal as these 5 errors in Excel.

Statistical Analysis with R
02/10/2017

Statistical Analysis with R

Statistical Analysis with R

R is an open source programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.

The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, surveys of data miners, and studies of scholarly literature databases show that R's popularity has increased substantially in recent years

Statistical Features:
R and its libraries implement a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others.

R is easily extensible through functions and extensions, and the R community is noted for its active contributions in terms of packages. Many of R's standard functions are written in R itself, which makes it easy for users to follow the algorithmic choices made.

For computationally intensive tasks, C, C++, and Fortran code can be linked and called at run time. Advanced users can write C, C++, Java, .NET or Python code to manipulate R objects directly.
R is highly extensible through the use of user-submitted packages for specific functions or specific areas of study. Due to its S heritage, R has stronger object-oriented programming facilities than most statistical computing languages. Extending R is also eased by its lexical scoping rules.

Another strength of R is static graphics, which can produce publication-quality graphs, including mathematical symbols. Dynamic and interactive graphics are available through additional packages.

R has Rd, its own LaTeX-like documentation format, which is used to supply comprehensive documentation, both on-line in a number of formats and in hard copy.

16/07/2017
12/04/2015

Using INDEX, MATCH & VLOOKUP to return multiple values in Excel http://ow.ly/Lu4Ps

12/04/2015

Use CONCATENATE & RANDBETWEEN to generate random numbers quickly http://ow.ly/Lu4Pr

12/04/2015

ProTip: Introduction to Business Modeling with Goal Seek for Excel http://ow.ly/Lu4Pp

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