Description Usage Arguments Examples
Performs simple linear regression (with transformations) using the methodology taught by Dr. Arunendu Chatterjee for Fall 2016.
1 2 3 | cslr(x, y, matrix.out = F, asm.out = F, anova.out = F, shapiro.out = F,
bp.out = F, summary.out = F, plot.out = T, conf.out = F,
conf.level = 0.95)
|
x |
a vector of x values (representing the independent variable). |
y |
a vector of y values (representing the dependent variable). |
matrix.out |
whether to provide a matrix of adjusted R-squared values |
asm.out |
whether to provide results of assumption checking. |
anova.out |
whether to provide ANOVA results. |
shapiro.out |
whether to provide results of the Shapiro-Wilk test. |
bp.out |
whether to provide results of the Breusch-Pagan test. |
summary.out |
whether to provide summary of best regression. |
plot.out |
whether to provide relevant plots. |
conf.out |
whether to create confidence intervals for coefficients. |
conf.level |
confidence level for conf.out. |
1 | cslr()
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