#RSTUDIO DESCRIPTIVE STATISTICS FOR MAC#
#RSTUDIO DESCRIPTIVE STATISTICS ARCHIVE#

#RSTUDIO DESCRIPTIVE STATISTICS FOR MAC#

Once there, under Download and Install R, choose and run the appropriate precompiled binary distributions (Download R Linux, Download R for Mac OS, or Download R for Windows).

#RSTUDIO DESCRIPTIVE STATISTICS ARCHIVE#

You can download and install R from the Comprehensive R Archive Network (CRAN) via ( ). On the other hand, a lower-level programming language is a lot closer to the machine and computer language, it can be executed directly on a computer without the need to convert between languages before execution, so it can be faster than a high-level programming language and more inclined towards machine languages that deal with bits 0 and 1. The R is a high-level programming language that is designed to be used by a human and is closer to the human language, it needs to be converted to machine language before being executed, so a high-level programming language can be slower. Because R is open-source software, it contains hundreds of packages developed by researchers around the world for various statistical analyses and data mining. The simplest way to install the program is to follow the online instructions and use the default options. R is an open-source software within the GNU package, for statistical computing and graphics, it compiles and runs on a wide variety of Linux platforms, Windows, and Mac OS. Regressions can be linear regressions (simple linear regression, multiple linear regression), or non-linear regressions. Regressions analysis is used to identify the relationships between two variables. The hypothesis can be a null hypothesis or alternative hypothesis, and rejecting the null hypothesis is done using tests like the T Test (for continuous variables), Chi Square Test (for categorical variables), and ANOVA (for complex applications). Inferential statistics tests the relationship between two data sets or two samples, and a hypothesis is usually set for the statistical relationships between them.

The central tendency (it describes the data with respect to the center of the data, and it can be the mean, median, and mode of the data),Īnd the dispersion of data (it describes the spread of the data, and it can be the variance, standard deviation, and interquartile range). Descriptive Statisticsĭescriptive statistics summarize the data and usually focuses on the distribution (normal distribution or binomial distribution), Three main statistical methods are used in the data analysis: descriptive statistics, inferential statistics, and regressions analysis. Statistics is a collection of mathematics to deal with data organization, analysis, and interpretation.

Rstudio descriptive statistics