867 search results for "how to import image file to R"

Blue Jay and Scrub Jay : Using rvertnet to check the distributions in R

July 30, 2012
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Blue Jay and Scrub Jay : Using rvertnet to check the distributions in R

As part of my Google Summer of Code, I am also working on another package for R called rvertnet. This package is a wrapper in R for VertNet websites. Vertnet is a vertebrate distributed database network consisting of FishNet2, MaNIS, HerpNET, and ORNIS. Out of that currently Fishnet, HerpNET and ORNIS have their v2 portals serving data. rvertnet has functions now to access

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Blue Jay and Scrub Jay : Using rvertnet to check the distributions in R

July 30, 2012
By
Blue Jay and Scrub Jay : Using rvertnet to check the distributions in R

As part of my Google Summer of Code, I am also working on another package for R called rvertnet. This package is a wrapper in R for VertNet websites. Vertnet is a vertebrate distributed database network consisting of FishNet2, MaNIS, HerpNET, and ORNIS. Out of that currently Fishnet, HerpNET and ORNIS have their v2 portals serving data. rvertnet has functions now to access

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ggplot2: A little twist on back-to-back bar charts

July 27, 2012
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ggplot2: A little twist on back-to-back bar charts

Sangyoon Lee BackgroundWhile thinking about ways to represent incoming and outgoing flows in a business process, I thought about using export-import charts like the one shown here in the Learning R blog. However, as the author acknowledges, it is difficult to compare individual values using these charts. Regardless, I still wanted to have...

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Plotting 95% Confidence Bands in R

July 26, 2012
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Plotting 95% Confidence Bands in R

I am comparing estimates from subject-specific GLMMs and population-average GEE models as part of a publication I am working on. As part of this, I want to visualize predictions of each type of model including 95% confidence bands. First I had to ma...

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Getting rasters into shape from R

July 25, 2012
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Getting rasters into shape from R

Today I needed to convert a raster to a polygon shapefile for further processing and plotting in R. I like to keep my code together so I can easily keep track of what I’ve done, so it made sense to … Continue reading →

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Measuring persistence in a time series : Application of rolling window regression

Measuring persistence in a time series : Application of rolling window regression

During my final semester at IGIDR I did a project paper in macroeconomics involving timeseries econometrics. The concept that I focused on my study was unit root, which I have touched upon in my earlier posts. This study presents a novel...

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Plotting 95% Confidence Bands in R

July 24, 2012
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Plotting 95% Confidence Bands in R

I am comparing estimates from subject-specific GLMMs and population-average GEE models as part of a publication I am working on. As part of this, I want to visualize predictions of each type of model including 95% confidence bands. First I … Continue reading →

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What’s wrong with LOESS for palaeo data?

July 24, 2012
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What’s wrong with LOESS for palaeo data?

Locally weighted scatterplot smoothing (LOWESS) or local regression (LOESS) is widely used to highlight “signal” in variables from stratigraphic sequences. It is a user-friendly way of fitting a local model that derives its form from the data themselves rather than having … Continue reading →

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A comparison of some heuristic optimization methods

July 23, 2012
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A comparison of some heuristic optimization methods

A simple portfolio optimization problem is used to look at several R functions that use randomness in various ways to do optimization. Orientation Some optimization problems are really hard. In these cases sometimes the best approach is to use randomness to get an approximate answer. Once you decide to go down this route, you need … Continue reading...

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Modeling Permanent and Gradual Process Changes with CDFs

July 20, 2012
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Modeling Permanent and Gradual Process Changes with CDFs

Spencer HerathSpecial thanks to Ben OgorekBackgroundI recently faced a process with a structural change resulting in an increase in the process mean.  The jump to the new mean was not immediate; rather, there was a gradual increase in values over time.  I had previously benefited from multi-staged process-behavior charts when encountering immediate process shifts, but now I needed a...

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