fonnesbeck

Y_i \sim \left\{ \begin{array}{l}
0, \text{with probability } (1-\psi) \\
\text{Poisson}(\mu), \text{with probability } \psi
\end{array} \right.

fonnesbeck

\,{\buildrel d \over =}\,

fonnesbeck

as.numeric(levels(f))[f]

aflaxman

*.pyc
*.png
*~

mja

homebrew install gfortran
homebrew install python
homebrew install distribute
homebrew install pip
pip install ipython
pip install numpy
pip install scipy
pip install -f http://downloads.sourceforge.net/project/matplotlib/matplotlib/matplotlib-1.0/matplotlib-1.0.0.tar.gz matplotlib

jeffreyhorner

library(twitteR)
library(infochimps)
library(datamap)

infochimps('YOUR_API_KEY')

# Creates a new mapper, similar to an OO class
newMapper(type='twitchimps:influence',

    # Init is called once during newMap(). Note that

roban

"""Routines related to plotting 2D distributions of parameters.

The core of this module is plot2Ddist, which plots a two-dimensional
distribution with 1D marginal histograms along each axis and optional
features like contours and lines indicating ranges and true values.

"""

import itertools
import math

fonnesbeck

missing = -999
filled_data = [(x, missing)[x is ''] for x in raw_data]

huyng

### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).

fonnesbeck

import numpy as np
from scipy import linalg

def lse(A, b, B, d, cond=None):
    """
    Equality-contrained least squares.
    
    The following algorithm minimizes ||Ax - b|| subject to the
    constrain Bx = d.