regressionEmailReport: Email a Regression Evaluation Report
In ivanliu1989/RQuant: A collection of generic functions

Description Usage Arguments Value See Also Examples

Given the result of regressionEvaluation email a standardised report to one or more recipients.

The emailed report contains a residual vs fitted plot, a residual vs order plot, a histogram of actual, predictions and residuals' distributions, a prediction intervals plot, and a plot of cumulative If the model is provided, some basic descriptions about the model will also be reported. If the model provided is a glm, glm.check.assumptions function will be used to check the assumptions of the model(e.g. linearity).

1 2	regressionEmailReport(evaluationResults, toAddress = "your.name@gmail.com", additionalMessage = "", plotSize = 10)

`evaluationResults`	The result from running `regressionEvaluation`.
`toAddress`	Character vector, containing the email address(es) to send the report to, when completed.
`additionalMessage`	A string that will appear in the subject of the email
`plotSize`	Numeric scalar containing the side length of the resulting square png files, in pixels.

The result of the call to sendmail

RQuantSendMail, regressionEvaluation

set.seed(123)
data(mtcars)
fit <- glm(mpg ~ cyl + disp + hp + drat, data=as.data.frame(mtcars), family = gaussian())
actuals <- mtcars$mpg
probs <- predict(fit, mtcars)
res <- regressionEvaluation(pred = probs,
obs = actuals,
model = fit,
sample_size=1e5,
seed = 1234)

regressionEmailReport(res,"ivan@xxx.com")