| Title: | Compound Growth Rate for Capturing the Growth Rate Over the Period |
|---|---|
| Description: | The compound growth rate indicates the percentage change of a specific variable over a defined period. It is calculated using non-linear models, particularly the exponential model. To estimate the compound growth rates, the growth model is first converted to semilog form and then analyzed using Ordinary Least Squares (OLS) regression. This package has been developed using concept of Shankar et al. (2022)<doi:10.3389/fsufs.2023.1208898>. |
| Authors: | Dr. S. Vishnu Shankar [aut, cre], Dr. Ranjit Kumar Paul [aut], Dr. Himadri Shekhar Roy [aut], Dr. Md Yeasin [aut] |
| Maintainer: | Dr. S. Vishnu Shankar <[email protected]> |
| License: | GPL-3 |
| Version: | 0.1.0 |
| Built: | 2024-12-01 08:48:31 UTC |
| Source: | CRAN |
Compound Growth Rate for Capturing the Growth Rate Over the Period
CGR(variable, data, verbose = FALSE)CGR(variable, data, verbose = FALSE)
variable |
Time series data taken for the study |
data |
Name of the data taken for the study |
verbose |
Logical. If TRUE, the function prints detailed information about its progress. Default is FALSE. |
Returns a list containing the Compound growth rate for capturing the growth rated over the period and other model parameters. The list includes:
CGR: Growth rate calculated for the data.
AoS: The value derived by taking anti log of the slope of exponential model.
#'
• Shankar, S. V., Chandel, A., Gupta, R. K., Sharma, S., Chand, H., Kumar, R., ... & Gowsar, S. N. (2023). Corrigendum: Exploring the dynamics of arrivals and prices volatility in onion (Allium cepa) using advanced time series techniques. Frontiers in Sustainable Food Systems, 7, 1290515. DOI: 10.3389/fsufs.2023.1208898
{ library(CGR) years <- 1:50 value<-rnorm(length(years),100, 50) data <- data.frame(Year = years, Sales = round(value)) CGR_results <- CGR(variable = data$Sales, data = data) print(CGR_results) }{ library(CGR) years <- 1:50 value<-rnorm(length(years),100, 50) data <- data.frame(Year = years, Sales = round(value)) CGR_results <- CGR(variable = data$Sales, data = data) print(CGR_results) }