Interested to Buy Any Domain ? << Click Here >> for more details...
What are covariances in R?
- 1 Answers
- 111 Views
- I also Faced
- E-Mail Answers
Answer / Kedar Nath
In R, covariances are a measure of how two variables move together. It is a statistical concept that describes the linear relationship between two random variables. Covariance can be positive (indicating a positive correlation), zero (indicating no correlation), or negative (indicating a negative correlation). The function to calculate covariance in R is "cov()". For example, calculating the covariance of two vectors 'x' and 'y': `cov(x, y)`.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain the type of clustering in R?
What is R Base package?
What is the difference between a bar-chart and a histogram?
What will be the output of log (-5.8) when executed on r console?
Explain main features to write R code that runs faster?
How would you check the distribution of a categorical variable in r?
What are the steps involved in building and evaluating a linear regression model in r?
What is meant by ANOVA models in R?
What is the random walk model in r?
What is function in r?
How to construct a new s3 class?
What is an arbitrary function in r?
C 
