lm_diagnostics: Check assumptions of heteroscedasticity and normally...
In jenniferthompson/JTHelpers: Personal Helper Functions, Some Related to rms Package
Description
Usage
Arguments
Examples
View source: R/lm_diagnostics.R
Description
Check assumptions of heteroscedasticity and normally distributed errors for a linear regression
model fit.
Usage
1
lm_diagnostics(lmObj, outcomeString = "Outcome", titleString)
Arguments
lmObj
Model fit of class 'lm'.
outcomeString
String to identify outcome in X axis label. Defaults to "Outcome."
titleString
String to add to plot titles.
Examples
1
2
3
4
## Linear regression model
mymod <- lm(Sepal.Width ~ Sepal.Length, data = iris)
lm_diagnostics(mymod, outcomeString = 'Sepal.Width', titleString = 'Sepal.Width vs Sepal.Length')
jenniferthompson/JTHelpers documentation built on May 19, 2019, 4:04 a.m.
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Description Usage Arguments Examples
View source: R/lm_diagnostics.R
Description
Check assumptions of heteroscedasticity and normally distributed errors for a linear regression model fit.
Usage
1 | lm_diagnostics(lmObj, outcomeString = "Outcome", titleString)
|
Arguments
lmObj |
Model fit of class 'lm'. |
outcomeString |
String to identify outcome in X axis label. Defaults to "Outcome." |
titleString |
String to add to plot titles. |
Examples
1 2 3 4 | ## Linear regression model
mymod <- lm(Sepal.Width ~ Sepal.Length, data = iris)
lm_diagnostics(mymod, outcomeString = 'Sepal.Width', titleString = 'Sepal.Width vs Sepal.Length')
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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