In [1]:

    

print "testing python kernel"


    

    




testing python kernel

In [2]:

    

import rpy2


    

In [9]:

    

import rpy2.ipython


    

In [3]:

    

%load_ext rpy2.ipython


    

In [4]:

    

import numpy as np


    

In [5]:

    

X = np.array([0,1,2,3,4])
Y = np.array([3,5,4,6,7])


    

In [6]:

    

%%R -i X,Y -o XYcoef
XYlm = lm(Y~X)
XYcoef = coef(XYlm)
print(summary(XYlm))
par(mfrow=c(2,2))
plot(XYlm)


    

    






Call:
lm(formula = Y ~ X)

Residuals:
   1    2    3    4    5 
-0.2  0.9 -1.0  0.1  0.2 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)  
(Intercept)   3.2000     0.6164   5.191   0.0139 *
X             0.9000     0.2517   3.576   0.0374 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.7958 on 3 degrees of freedom
Multiple R-squared:   0.81,	Adjusted R-squared:  0.7467 
F-statistic: 12.79 on 1 and 3 DF,  p-value: 0.03739








    

In [7]:

    

np.arange(4, 6, 0.5)


    

    
Out[7]:





array([ 4. ,  4.5,  5. ,  5.5])

In [8]:

    

np.arange(4,6)


    

    
Out[8]:





array([4, 5])