README.md

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finalecasnit

The goal of finalecasnit is to test Knapsack using four different methods and compare the speed of these four different algorithms.

Installation

You can install the released version of finalecasnit from CRAN with:

install.packages("finalecasnit")

Example

This is a basic example which shows you how to solve a common problem:

## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)
#>      speed           dist       
#>  Min.   : 4.0   Min.   :  2.00  
#>  1st Qu.:12.0   1st Qu.: 26.00  
#>  Median :15.0   Median : 36.00  
#>  Mean   :15.4   Mean   : 42.98  
#>  3rd Qu.:19.0   3rd Qu.: 56.00  
#>  Max.   :25.0   Max.   :120.00

You'll still need to render README.Rmd regularly, to keep README.md up-to-date.

You can also embed plots, for example:

In that case, don't forget to commit and push the resulting figure files, so they display on GitHub!



nitinsverige/finalecasnit documentation built on May 26, 2019, 2:31 p.m.