bank_data: Bank data (Riani et al., 2014).

In fsdaR: Robust Data Analysis Through Monitoring and Dynamic Visualization

Bank data (Riani et al., 2014).

Description

There are 60 observations on a response y with the values of three explanatory variables. The scatter plot matrix of the data shows y increasing with each of x1, x2 and x3. The plot of residuals against fitted values shows no obvious pattern. However the FS finds that there are 6 masked outliers.

Usage

data(bank_data)

Format

A data frame with 1949 rows and 14 variables. The variables are as follows:

• x1: Personal loans

• x2: Financing and hire-purchase

• x3: Mortgages

• x4: Life insurance

• x5: Share amount

• x6: Bond account

• x7: Current account

• x8: Salary deposits

• x9: Debit cards

• x10: Credit cards

• x11: Telephone banking

• x12: Domestic direct debits

• x13: Money transfers

• y: Profit/loss

Source

Riani, M., Cerioli, A., Atkinson, A. C., and Perrotta, D. (2014). Supplement to ”Monitoring robust regression”. doi:10.1214/14-EJS897SUPP.

References

Riani, M., Cerioli, A., Atkinson, A. C., and Perrotta, D. (2014). Monitoring robust regression. Electronic Journal of Statistics, 8, 642-673.

fsdaR documentation built on March 31, 2023, 8:18 p.m.