algorithm.txt

#logistic_regression
Step 1 : Start
Step 2 : Include required libraries(mlbench, ggplot)
Step 3 : Create diabetes dataset for training
Step 4 : Create logistic regression model
Step 5 : Print summary
Step 6 : Create dataset for predicting diabetes
Step 7 : Predict probability of diabetes
Step 8 : print 'pos' if probability is greater than 0.5 else print 'neg'
Step 9 : Stop

#linear regression
Step 1 : Start
Step 2 : Include required libraries(ggplot)
Step 3 : Create linear regression model using mtcars dataset
Step 4 : Print summary
Step 5 : Plot linear regression model using ggplot
Step 6 : Stop

#Descriptive Statistics
Step 1 : Start 
Step 2 : Create 2 data samples 
Step 3 : Select entire data to be evaluated 
Step 4 : Select Data from Menu bar 
Step 5 : From the drop down menu select Statistics -> Descriptive Statistics 
Step 6 : Enter result cell 
Step 7 : Choose column in Grouped by 
Step 8 : Click ok 
Step 9 : Stop

#Linear regression in Calc
Step 1 : Start 
Step 2 : Enter data sample 
Step 3 : Select entire data sample 
Step 4 : Select insert from Menu bar and Click on chart 
Step 5 : Choose XY (Scatter) as chart type 
Step 6 : Select points only 
Step 7 : Click Next-> Next-> Next 
Step 8 : In chart elements give Title and axis labels 
Step 9 : Click Finish 
Step 10 : Select a point on the appeared scatter plot 
Step 11 : Select insert from Menu bar and Click on Trend line 
Step 12 : Select Type and choose linear as regression type 
Step 13 : Check Show Equation and click ok 
Step 14 : Using the Equation Predict Avg Expense 
Step 15 : Stop

#Histogram in Calc
Step 1 : Start 
Step 2 : Enter data sample 
Step 3 : Calculate min and max of sample data using min() & max() 
Step 4 : Choose lower bound of min value as starting value of bin, Choose Upper bound of max value 
as ending value of bin 
Step 5 : Select all cells next to bin values to calculate frequency 
Step 6 : Calculate frequency using the Equation “=Frequency(Data;class)” (Where data is the sample 
data and class is bin values) 
Step 7 : After entering equation click Shift+Ctrl+Enter to execute 
Step 8 : Select Entire bin and Frequency(Including Labels) 
Step 9 : Select insert from Menu bar and Click on chart 
Step 10 : Choose Column as chart type and click next 
Step 11 : Check Data series in columns, First row as label and First column as label 
Step 12 : Click next->next 
Step 13 : In chart elements give Title and axis labels
Step 14 : Click Finish 
Step 15 : Stop