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https://github.com/greenpau/go-calculator
Go package to calculate total, mean (average), median, sorted median, variance, range, min, max, modes, standard deviation, etc.
https://github.com/greenpau/go-calculator
golang math statistical-analysis statistical-methods statistics
Last synced: 4 months ago
JSON representation
Go package to calculate total, mean (average), median, sorted median, variance, range, min, max, modes, standard deviation, etc.
- Host: GitHub
- URL: https://github.com/greenpau/go-calculator
- Owner: greenpau
- License: mit
- Created: 2020-04-28T14:01:13.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2023-11-27T11:18:52.000Z (about 1 year ago)
- Last Synced: 2024-04-22T12:38:29.545Z (10 months ago)
- Topics: golang, math, statistical-analysis, statistical-methods, statistics
- Language: Go
- Homepage:
- Size: 16.6 KB
- Stars: 6
- Watchers: 3
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# go-calculator
Go package to calculate total, mean (average), median, sorted median,
variance, range, min, max, modes, standard deviation, etc.
## Getting Started
First, add the library to :
```golang
import (
"github.com/greenpau/go-calculator"
)
```
Next, initialize calculator in any of the following ways:
```golang
calc, _ := calculator.NewString("1, 2, 3, 4.5, 5.4, 6, 7")
if calc == nil {
log.Fatal("failed to initialize calculator")
}
arr := []uint64{1, 2, 3, 4, 5, 6, 7}
calc, _ := calculator.NewUint64(arr)
arr := []int64{1, 2, 3, 4, 5, 6, 7}
calc, _ := calculator.NewInt64(arr)
arr := []int{1, 2, 3, 4, 5, 6, 7}
calc, _ := calculator.NewInt(arr)
arr := []float64{1, 2, 3, 4, 5, 6, 7}
calc, _ := calculator.NewFloat64(arr)
```
Next, calculate total, mean (average), median, mode, range
using the `calc` instance:
```golang
cacl.Total()
calc.StandardDeviation()
calc.Variance()
calc.Range()
calc.Max()
calc.Min()
calc.MaxWithIndices()
calc.MinWithIndices()
calc.Median(true)
calc.Median(false)
calc.Mean()
calc.Modes()
```
Alternatively, simply perform all calculations:
```
calc.RunAll()
```
Get the result of the calculations.
```golang
fmt.Fprintf(os.Stdout, "Total: %.2f\n", calc.Register.Total)
```
The `Print()` function helps visualize the data:
```
Data: [554801 61602 763767 277578 167822 617342
847743 801166 894535 254904 354657 389371
543430]
Total: 6528718.000000
Mean: 502209.076923
Median: 732542.500000
Sorted Median: 466400.500000
Max: 894535.000000
Max Indices: [8]
Min: 61602.000000
Min Indices: [1]
Variance: 69299542922.378693
Standard Deviation: 0.000000
Modes: []
Mode Repeat Count: 0
```