R to Python/Numpy Linear Regression Curve
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Learning python/numpy and wondering if anyone can help with converting a linear regression curve equation from R to python/numpy?
library(zoo)
inertiaTS <- function(y, n)
x <- 1:n;
c.ab=rollapply(y,n,function(yt)
coef(lm(yt~x))
,align = "right")
plot(y,col=2)
lines(c.ab[ ,2]*x[n]+c.ab[ ,1],col=4,lwd=2)
list(axpb=c.ab[ ,2]*x[n]+c.ab[ ,1],rolcoef=c.ab)
python numpy linear-regression
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up vote
1
down vote
favorite
Learning python/numpy and wondering if anyone can help with converting a linear regression curve equation from R to python/numpy?
library(zoo)
inertiaTS <- function(y, n)
x <- 1:n;
c.ab=rollapply(y,n,function(yt)
coef(lm(yt~x))
,align = "right")
plot(y,col=2)
lines(c.ab[ ,2]*x[n]+c.ab[ ,1],col=4,lwd=2)
list(axpb=c.ab[ ,2]*x[n]+c.ab[ ,1],rolcoef=c.ab)
python numpy linear-regression
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
Learning python/numpy and wondering if anyone can help with converting a linear regression curve equation from R to python/numpy?
library(zoo)
inertiaTS <- function(y, n)
x <- 1:n;
c.ab=rollapply(y,n,function(yt)
coef(lm(yt~x))
,align = "right")
plot(y,col=2)
lines(c.ab[ ,2]*x[n]+c.ab[ ,1],col=4,lwd=2)
list(axpb=c.ab[ ,2]*x[n]+c.ab[ ,1],rolcoef=c.ab)
python numpy linear-regression
Learning python/numpy and wondering if anyone can help with converting a linear regression curve equation from R to python/numpy?
library(zoo)
inertiaTS <- function(y, n)
x <- 1:n;
c.ab=rollapply(y,n,function(yt)
coef(lm(yt~x))
,align = "right")
plot(y,col=2)
lines(c.ab[ ,2]*x[n]+c.ab[ ,1],col=4,lwd=2)
list(axpb=c.ab[ ,2]*x[n]+c.ab[ ,1],rolcoef=c.ab)
python numpy linear-regression
python numpy linear-regression
edited Nov 10 at 8:12
mehrdad-pedramfar
3,93411234
3,93411234
asked Nov 10 at 6:49
John Holmes
247
247
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