The Needs to Embrace R Programming Language in Every Organizations That Deals with Statistical Research and Data Analysis

References

[1] Aiken, L. S., & West, S. G. (1991). Testing and interpreting interactions. Newbury Park, CA: Sage.

[2] Algina, J., & Olejnik, S. (2000). Determining sample size for accurate estimation of the squared multiple correlation coefficient. Multivariate Behavioral Research, 35, 119–136.

[3] Becker, R. A. (1994). A brief history of S. Retrieved from http://cm.bell-labs.com/stat/doc/94.11.ps

[4] Cleveland, W. S. (1979). Robust locally weighted regression and smoothing scatterplots. Journal of American Statistics Association, 74, 829–836.

[5] Cleveland, W. S. (1981). LOWESS: A program for smoothing scatterplots by robust locally weighted regression. The American Statistician, 35, 54.

[6] Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Lawrence Erlbaum.

[7] Collins, L. M., & Sayer, A. (Eds.). (2001). New methods for the analysis of change. Washington, DC: American Psychological Association.

[8] Doran, H. C., & Lockwood, J. R. (2006). Fitting value-added models in R. Journal of Educational and Behavioral Statistics, 31(2), 105–230.

[9] Everitt, B. S. (2005). An R and S-Plus companion to multivariate analysis. London: Springer.

[10] Fleishman, A. I. (1980). Confidence intervals for correlation ratios. Educational and Psychological Measurement, 40, 659–670.

[11] Harris, R. J. (2001). A primer of multivariate statistics (3rd ed.). Mahwah, NJ: Lawrence Erlbaum.

[12] Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. Orlando, FL: Academic Press.

[13] Kelley, K. (2007a). Confidence intervals for standardized effect sizes: Theory, application, and implementation. Journal of Statistical Software, 20(8), 1–24.

[14] Kelley, K. (2007b). MBESS: Version 0.0.9 [Computer software and manual]. Retrieved from http://www.r-project.org/.

[15] Maxwell, S. E., & Delaney, H. D. (2004). Designing experiments and analyzing data: A model comparison perspective (2nd ed.). Mahwah, NJ: Lawrence Erlbaum.

[16] Pinheiro, J. C., & Bates, D. M. (2000). Mixed-effects models in S and S-PLUS. New York: Springer.

[17] Pinheiro, J. C., Bates, D., DebRoy, S., & Sarkar, D. (2007). nlme: Linear and nonlinear mixed effects models [Computer software and manual]. Retrieved from http://www.r-project.org/.

[18] Preece, D. A. (1982). t is for trouble (and textbooks): A critique of some examples of the pairedsamples t-test. The Statistician, 31, 169–195.

[19] R Development Core Team. (2007a). foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, Systat, dBase [Computer software and manual]. Retrievable from http://www.r-project.org.

@article{1703170,
      author = {Asere Gbenga Femi, Iseyemi Oluwole Samuel},
      title = {The Needs to Embrace R Programming Language in Every Organizations That Deals with Statistical Research and Data Analysis},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {5},
      number = {7},
      pages = {357-365},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703170.pdf},
      abstract = {R programming language gives a climate in which you can perform factual examination and produce designs. It is really a total programming language for the examination information. R can be considered to be a programming language that ends up accompanying a huge library of pre-characterized capacities that can be utilized to perform different undertakings. A significant focal point of these pre-characterized capacities is measurable information investigation, and these permit R to be utilized absolutely as a tool kit for standard factual strategies. Notwithstanding, some information on R writing computer programs is crucial for use it well at any level. For cutting edge clients specifically, the primary allure of R (rather than different information investigation programming) is as a programming climate fit to information examination. Our objective will be to learn R as an insights tool kit, however with a genuinely amazing accentuation on its modifying language viewpoints.},
      keywords = {R, Programming, Language, Statistics},
      month = {January},
  }