1438 search results for "excel"

Visiting FHCRC, JHSPH and Meeting Xi’an

October 29, 2012
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Visiting FHCRC, JHSPH and Meeting Xi’an

I have been traveling during the last two weeks. I visited Fred Hutchinson Cancer Research Center on Oct 16 and the Department of Biostatistics at Johns Hopkins at the invitation of Simply Statistics on Oct 23. Today Christian Robert was visiting our department at Iowa State, and I also talked to him. It is really cool...

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Javascript and D3 for R users, part 2: running off the R server instead of Python

October 26, 2012
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Thank you all for the positive responses to Basics of JavaScript and D3 for R Users! Quick update: last time we had to dabble in a tiny bit of Python to start a local server, in order to actually run JavaScript … Continue reading →

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Stan for Bayesian Analysis

October 23, 2012
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Stan for Bayesian Analysis

Bayesian analysis has been growing in popularity among ecologists recently, largely due to accessible books such as Models for Ecological Data: An Introduction, Introduction to WinBUGS for Ecologists, and Bayesian Methods for Ecology. Most ecologists with limited programming background have … Continue reading →

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Getting data in and out of R

October 22, 2012
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Getting data in and out of R

One of the great advantages of R is that it recognizes almost any data format that you can throw at it. There are a myriad of different possible file formats but I'll concentrate on the four files that we see almost exclusively in public health: Excel ...

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Predict User’s Return Visit within a day part-3

October 22, 2012
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Predict User’s Return Visit within a day part-3

Welcome to the last part of the series on predicting user’s revisit to the website. In the  first part of series, I generated the logistic regression model for prediction problem whether a user will come back on  website in next 24 hours. In the second part, I discussed about model improvement and seen the model accuracy.

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Classes and Objects in R

October 21, 2012
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Classes and objects in R Welcome back! In this blog post I'm going to try to tackle the concept of objects in R. R is said to be an “object oriented” language. I touched on this in my last post when we discussed the concatenate function c() and I'll go a bit beyond that this time. Speaking of the c() function, I'll begin this...

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Basics of JavaScript and D3 for R Users

October 21, 2012
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Basics of JavaScript and D3 for R Users

Hadley Wickham, creator of the ggplot2 R package, has been learning JavaScript and its D3 library for the next iteration of ggplot2 (tentatively titled r2d3?)… so I suspect it’s only a matter of time before he pulls the rest of the … Continue reading →

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Recoding Variables in R: Pedagogic Considerations

October 20, 2012
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I was creating a dataset this last week in which I had to partition the observed responses to show how the ANOVA model partitions the variability. I had the observed Y (in this case prices for 113 bottles of wine), … Continue reading →

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Tidbit: Correlation and Simple Linear Regression

October 19, 2012
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In business "Correlation" is generically used as a mutual relationship or connection between two or more things; statistically speaking correlation is the interdependence of variable quantities. I overhear many end users request information on the correlation of variables for prediction use, what they are referring to is actually simple linear regression. I don't mean to outline all

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Company Valuation using Discounted Cash Flows

October 18, 2012
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Company Valuation using Discounted Cash Flows

Today I want to show a simple example of how we can value a company using Discounted Cash Flow (DCF) analysis. The idea is to compute the company’s Intrinsic Value based on the discounted future cash-flows. To compute future cash-flows I will use the historical Free Cash Flow growth rate. To compute present value of

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