diff --git a/README.md b/README.md
index 7facc76..78cb988 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,8 @@
-# Statistical Library V1
+# Statistical Library V1.4
![GitHub release (latest by date)](https://img.shields.io/github/v/release/akkoyun/Statistical) ![arduino-library-badge](https://www.ardu-badge.com/badge/Statistical.svg?) ![Visits Badge](https://badges.pufler.dev/visits/akkoyun/Statistical) ![GitHub stars](https://img.shields.io/github/stars/akkoyun/Statistical?style=flat&logo=github) ![Updated Badge](https://badges.pufler.dev/updated/akkoyun/Statistical) ![PlatformIO Registry](https://badges.registry.platformio.org/packages/akkoyun/library/Statistical.svg)
- Library - 01.04.00
+ Build - 01.04.01
---
diff --git a/examples/.DS_Store b/examples/.DS_Store
index a9b3d4a..e0ec52f 100644
Binary files a/examples/.DS_Store and b/examples/.DS_Store differ
diff --git a/examples/Pressure_Regression/Pressure_Regression.ino b/examples/Pressure_Regression/Pressure_Regression.ino
new file mode 100644
index 0000000..8601ed0
--- /dev/null
+++ b/examples/Pressure_Regression/Pressure_Regression.ino
@@ -0,0 +1,72 @@
+#include
+#include
+
+Statistical DataSet;
+
+// Set Array
+float Data[5][2];
+
+void setup() {
+
+ // Start Serial
+ Serial.begin(115200);
+
+ // Set Presicion
+ DataSet.Linear_Regression_Presicion = 5;
+
+ // First Pressure Read
+ for (uint8_t i = 0; i < DataSet.Linear_Regression_Presicion + 5; i++) {
+
+ // Measure Pressure
+ float _Pressure = Sensor.Read_Analog_Pressure(2, 50);
+
+ // Calculate Time Stamp
+ float _Time = ((float)millis() / 1000) / 60;
+
+ // Learn Data
+ DataSet.Array_FILO(Data, 5, _Time, _Pressure);
+
+ // Calculate Regression
+ DataSet.Linear_Regression_Calculate(Data);
+
+ // Clear DataSet
+ DataSet.Linear_Regression_Data_Clear();
+
+ }
+
+
+}
+
+void loop() {
+
+ // Measure Pressure
+ float _Pressure = Sensor.Read_Analog_Pressure(2, 50);
+
+ // Calculate Time Stamp
+ float _Time = ((float)millis() / 1000) / 60;
+
+ // Learn Data
+ DataSet.Array_FILO(Data, 5, _Time, _Pressure);
+
+ // Calculate Regression
+ DataSet.Linear_Regression_Calculate(Data);
+
+ // Calculate Anomaly
+ float _Pressure_Anomaly = DataSet.Linear_Regression_Slope * 100;
+
+ // Print Anomaly
+ //if (_Pressure_Anomaly > 4) Serial.println("Basinc Artisi");
+ //if (_Pressure_Anomaly < -4) Serial.println("Basinc Azalisi");
+
+ // Print Calculated Data
+ Serial.print("Pressure : "); Serial.print(_Pressure, 4); Serial.println(" Bar");
+ Serial.print("Slope : "); Serial.print(DataSet.Linear_Regression_Slope * 100, 4); Serial.println(" ");
+ Serial.println("----------------");
+
+ // Clear DataSet
+ DataSet.Linear_Regression_Data_Clear();
+
+ delay(2000);
+
+}
+
diff --git a/library.json b/library.json
index 3b81c78..3ad0100 100644
--- a/library.json
+++ b/library.json
@@ -1,6 +1,6 @@
{
"name": "Statistical",
- "version": "1.4.0",
+ "version": "1.4.1",
"keywords": "Statistical, Max, Min, Average, Regression, Data, Sensor, Slope, Offset",
"description": "Function calculates statistical parameters of data stream and array",
"authors":
@@ -31,12 +31,19 @@
]
},
{
- "name": "Stream",
+ "name": "Regression",
"base": "examples/Regression/",
"files": [
"Regression.ino"
]
},
+ {
+ "name": "Pressure Regression Stream",
+ "base": "examples/Pressure_Regression/",
+ "files": [
+ "Pressure_Regression.ino"
+ ]
+ },
{
"name": "Stream",
"base": "examples/Stream/",
diff --git a/library.properties b/library.properties
index 0225910..d363d6e 100644
--- a/library.properties
+++ b/library.properties
@@ -1,5 +1,5 @@
name=Statistical
-version=1.4.0
+version=1.4.1
author=Gunce Akkoyun
maintainer=Gunce Akkoyun
sentence=Statistic, Sum, Max, Min, Sq_Sum, Aritmetic Average, Geometric Average, RMS Average, Ext RMS Average, Bubble Sort, Median, Standart Deviation, Standart Deviation Error, Coefficient Factor, Average, Stream, Regression, Slope, Data, Analyse
diff --git a/src/Statistical.cpp b/src/Statistical.cpp
index 860f451..292942f 100644
--- a/src/Statistical.cpp
+++ b/src/Statistical.cpp
@@ -59,7 +59,7 @@ void Statistical::Linear_Regression_Calculate(float _Data[][2]) {
for (uint16_t i = 0; i < Linear_Regression_Presicion; i++) {
// Print Array
- Serial.print(_Data[i][0]); Serial.print("-"); Serial.println(_Data[i][1]);
+ //Serial.print(_Data[i][0]); Serial.print("-"); Serial.println(_Data[i][1]);
// Push Data
Linear_Regression(_Data[i][0], _Data[i][1]);