def plotHistogram(valuesList, directory = None, name = 'histo'):
if not directory:
fN = name + '.png'
else:
fN = directory + '/' + name + '.png'
#Convert to R acceptable form.
values = tuple(valuesList)
vals = robjects.IntVector(values)
gDevice = importr('grDevices')
gDevice.png(file=fN, width=1680, height=1050)
#r.hist(vals, breaks=100, xlab = "X", ylab = "Frequency", main=name)
r.hist(vals, breaks=100, xlab = "# Targets", ylab = "# MicroRNAs", main=name)
gDevice.dev_off()
# -*- coding: utf-8 -*-
from rpy2.robjects import r
from rpy2.robjects import IntVector
x = IntVector(range(9))
y = IntVector(range(9))
import ipdb; ipdb.set_trace()
r.png('figura1.png')
r.plot(x, y)
r['dev.off']()
r.png('figura2.jpeg')
r.plot(x, y, xlab='x', ylab='y', main='Minha plotagem', type='l')
r['dev.off']()
r.png('figura3.pdf')
normal = r.rnorm(500, 0, 1)
r.hist(normal)
r['dev.off']()
# -*- coding: utf-8 -*-
from rpy2.robjects import r
from rpy2.robjects import IntVector
x = IntVector(range(9))
y = IntVector(range(9))
import ipdb
ipdb.set_trace()
r.png('figura1.png')
r.plot(x, y)
r['dev.off']()
r.png('figura2.jpeg')
r.plot(x, y, xlab='x', ylab='y', main='Minha plotagem', type='l')
r['dev.off']()
r.png('figura3.pdf')
normal = r.rnorm(500, 0, 1)
r.hist(normal)
r['dev.off']()