| Title: | Complete Annual Growth Rate Generator |
|---|---|
| Description: | It is designed to streamline the process of calculating complete annual growth rates with user-friendly functions and robust algorithms. It enables researchers and analysts to effortlessly generate precise growth rate estimates for their data. For method details see, Sharma, M.K.(2013) <https://www.indianjournals.com/ijor.aspx?target=ijor:jfl&volume=26&issue=1and2&article=018>. It offers a comprehensive suite of functions and customisable parameters. Equipped to handle varying complexities in data structures. It empowers users to uncover insightful growth dynamics and make informed decisions. |
| Authors: | Ashis Ranjan Udgata [aut, cre], Devraj [aut], Rekha Rani [aut], Uma Sah [aut] |
| Maintainer: | Ashis Ranjan Udgata <[email protected]> |
| License: | GPL (>= 2.0) |
| Version: | 0.1.3 |
| Built: | 2025-03-08 02:29:22 UTC |
| Source: | https://github.com/cran/CompGR |
CompGR: Complete Annual Growth Rate Generator
cAgr(time, obs, model = NULL)cAgr(time, obs, model = NULL)
time |
A numeric vector containing sequence of time points |
obs |
A numeric vector containing sequence of observations |
model |
Three models. User can may select one of the three methods including Linear, Logarithmic and Compound growth |
CAGR
1. Sharma, M. K., Sisodia, B. V. S., & Lal, K. (2013). Growth and trends of pulse production in India. Journal of Food Legumes, 26(1and2), 86-92.
time<-c(1,2,3,4,5,6,7) obs<-c(14,18,19,15,14,17,16) CAGR_out<-cAgr(time=time,obs=obs,model="lin")time<-c(1,2,3,4,5,6,7) obs<-c(14,18,19,15,14,17,16) CAGR_out<-cAgr(time=time,obs=obs,model="lin")