RegSim: Simple linear regression simulation
In dco61/isteahMAT104: MAT104 Probabilité et Statistiques
Description
Usage
Arguments
Value
Examples
Description
Simple linear regression simulation
Usage
1
RegSim(nrep = 10000, n = 50, xb = 20, sx = 5, yb = 40, sy = 10, r = 0.6)
Arguments
nrep
scalar value: number of samples (default=10000)
n
scalar value: sample size (default = 50)
xb
scalar value: mean of independent variable (default = 20)
sx
scalar value: standard deviation of dependent variable (default=10)
yb
scalar value: mean of dependent variable (default = 40)
r
scalar value: correlation coefficient (default=0.6)
Value
list containing correlations, intercepts and slopes
Examples
1
RegSim()
dco61/isteahMAT104 documentation built on Jan. 2, 2022, 2:24 a.m.
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Description Usage Arguments Value Examples
Description
Simple linear regression simulation
Usage
1 | RegSim(nrep = 10000, n = 50, xb = 20, sx = 5, yb = 40, sy = 10, r = 0.6)
|
Arguments
nrep |
scalar value: number of samples (default=10000) |
n |
scalar value: sample size (default = 50) |
xb |
scalar value: mean of independent variable (default = 20) |
sx |
scalar value: standard deviation of dependent variable (default=10) |
yb |
scalar value: mean of dependent variable (default = 40) |
r |
scalar value: correlation coefficient (default=0.6) |
Value
list containing correlations, intercepts and slopes
Examples
1 | RegSim()
|
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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