mvrnormplot.fnc: Scatterplot of bivariate standard normal distribution
In languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
This function produces a scatterplot for a bivariate standard normal
distribution with least squares regression line.
Usage
1
mvrnormplot.fnc(r, n, limits)
Arguments
r
The correlation, defaults to 0.9.
n
Number of simulated data points, defaults to 100.
limits
Optional range for the axes
Value
A scatterplot with ordinary least squares regression line is shown on the
graphics device, with sample estimate of r added at the top of the plot.
Author(s)
R. H. Baayen
See Also
mvrnorm (MASS package)
Examples
1
2
3
4
## Not run:
mvrnormplot.fnc(r=0.9, n=100)
## End(Not run)
languageR documentation built on May 2, 2019, 10:02 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
This function produces a scatterplot for a bivariate standard normal distribution with least squares regression line.
Usage
1 | mvrnormplot.fnc(r, n, limits)
|
Arguments
r |
The correlation, defaults to 0.9. |
n |
Number of simulated data points, defaults to 100. |
limits |
Optional range for the axes |
Value
A scatterplot with ordinary least squares regression line is shown on the graphics device, with sample estimate of r added at the top of the plot.
Author(s)
R. H. Baayen
See Also
mvrnorm (MASS package)
Examples
1 2 3 4 | ## Not run:
mvrnormplot.fnc(r=0.9, n=100)
## End(Not run)
|
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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