actvspred: Comparison of actual and predicted linear response
In StatMeasures: Easy Data Manipulation, Data Quality and Statistical Checks

Description Usage Arguments Details Value Author(s) See Also Examples

Takes in actual, predicted linear response and quantile value, and returns average actual and predicted response in each quantile

1	actvspred(y, yhat, n)

`y`	actual linear response
`yhat`	predicted linear response
`n`	quantiles to be created for comparison

actvspred function divides the data into n (given as input by the user) quantiles and computes mean of y and yhat for each quantile. All NA's in n, y and yhat are removed for calculation.

The function also plots a line chart of average actual response and average predicted response over n quantiles. This plot can be used to visualize how close both the lines are.

a data.frame with average actual and predicted response in each quantile

Akash Jain

mape, splitdata

# A 'data.frame' with y and yhat
df <- data.frame(y = c(1, 2, 3, 6, 8, 10, 15),
                 yhat = c(1.2, 2.5, 3.3, 6.9, 9.3, 6.5, 12.3))

# Get actual vs predicted table
ACTVSPRED <- actvspred(y = df[, 'y'], yhat = df[, 'yhat'], n = 5)