### Categories

- Data Structure (5)
- Data Frame (3)
- Importing Exporting Data (1)
- List (1)
- Matrices (1)

- R FAQS (13)
- Missing Values (2)
- R Basics (8)
- R FAQS about Package (2)
- R Programming (1)

- R Graphics (2)
- plot Function (2)

- Statistical Models (1)
- Using R packages (1)

### Tags

### Top Posts & Pages

- How to View Source Code of R Method/ Function?
- Greek letters in R plot label and title
- mctest: An R package for Detection of Collinearity among Regressors
- R workspace, object and .RData file
- Reading and Writing data in R
- Add vectors of unequal length R without recycling
- Introduction to R plot() function
- List in R Language

### Recent Posts: Basic Statistics and Data Analysis

#### Classical Probability: Example, Definition, and Uses in Life

Classical probability is the statistical concept that measures the likelihood (probability) of something happening. In a classic sense, it means that every statistical experiment will contain elements that are equally likely to happen (equal chances of occurrence of something). Therefore, the concept of classical probability is the simplest form of probability that has equal odds […]

#### Skewness: Measure of Asymmetry

The skewed and askew are widely used terminologies that refer to something that is out of order or distorted on one side. Similarly, when referring to the shape of frequency distributions or probability distributions, the term skewness also refers to asymmetry of that distribution. A distribution with an asymmetric tail extending out to the right […]

#### Creating Formula in Excel: Operators order of precedence

Creating Formula in Excel: Operators Order of Precedence Creating customized (user defined) formulas in Microsoft Excel is not too difficult. For creating formulas just combine the references of your data with the correct mathematical operator (such as -, +, /, * and ^). Microsoft Order of Precedence The order of mathematical operations determines in which […]

#### Convert PDFs to Editable File Formats in 3 Easy Steps

Since the introduction of computers into our lives, we’ve been able to do things that we couldn’t do before. Slowly but surely, our PC skills have improved and today we are using new technologies that are enabling us to be better and more productive in almost every aspect of our lives. One huge part of […]

#### Random Walk Model

The random walk model is widely used in the area of finance. The stock prices or exchange rates (Asset prices) follow a random walk. A common and serious departure from random behavior is called a random walk (non-stationary), since today’s stock price is equal to yesterday stock price plus a random shock. There are two […]

### Recent Posts: GM Statistics

#### Matrix Introduction

Matrices are everywhere. If you have used a spreadsheet program such as MS-Excel, Lotus or written a table (such as in Ms-Word) or even have used mathematical or statistical software such a Mathematica, Matlab, Minitab, SAS, SPSS and Eviews etc., you have used a matrix. Matrices make the presentation of numbers clearer and make calculations […]

#### Number System

In early civilizations, the number of animals (sheep, goat, and camel etc.) or children people have were tracked by using different methods such as people match the number of animals with the number of stones. Similarly, they count the number of children with the number of notches tied on a string or marks on a […]

#### The Z-score

The Z-Score The Z-score also referred to as standardized raw scores is a useful statistic because not only permits to compute the probability (chances or likelihood) of raw score (occurring within normal distribution) but also it helps to compare two raw scores from different normal distributions. The Z-score is a dimensionless measure since it is […]

#### Multicollinearity in Linear Regression Models

Multicollinearity in Linear Regression Models The objective of multiple regression analysis is to approximate the relationship of individual parameters of a dependency, but not of interdependency. It is assumed that the dependent variable and regressors ‘s are linearly related to each other (Graybill, 1980; Johnston, 1963 and Malinvaud, 1968). Therefore, inferences depicted from any regression […]

#### Levels of Measurement

Levels of Measurement (Scale of Measure) Level of measurement (scale of measure) have been classified into four categories. It is important to understand these level of measurement, since these level of measurement play important part in determining the arithmetic and different possible statistical tests that are carried on the data. The scale of measure is […]