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Archive for the 'Learning R' Category

Jul24

Accounting for Measurement Uncertainty.

How many of you think the measurements of GMST are imprecise? As in, they might contain errors of some sort? I do.
Nevertheless, up to now, I have been performing hypothesis tests applying the assumption that the time series data for global mean surface temperature (GMST) are AR(1) distributed. I have [...]

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Filed in: Climate Sensitivity Data Comparisons GHE IPCC Learning R Uncategorized

Jul10

Do short time series neglect energy at large time scales?

Today in comments, JohnV suggested that, owing to the short time associated with my hypothesis test, I was neglecting temperature variability at long time scales, particularly those with periods longer than 7 years. Specifically, he wrote:
As we have tried to explain many times and in many ways, this is not a valid approach. [...]

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Filed in: Learning R Uncategorized


Jun24

Surface Temperatures Trends Through May: Month 89 and counting!

Trends for the Global Means Surface temperature for five groups (GISS, HadCrut, NOAA/NCDC, UAH/MSU and RSS.) were calculated from Jan 2001-May 2008 using Ordinary Least Squares (OLS) using the method in Lee & Lund. to compute error bars, and Cochrane-Orcutt and compared to the IPCC AR4’s projected central tendency of 2C/century for the trend [...]

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Filed in: Data Comparisons Learning R

Nov27

Calculating Annual Average Temperatures: Conditional Averages

Today’s “How to teach yourself R lesson” involves calculating annual average temperatures from a string of daily temperatures.
The average temperatures, which I must observe, look fairly trendless are plotted to the right. That said, there may be a trend buried in there. If so, it’s sufficiently small to require teasing out using statistics.
Now, [...]

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Filed in: Learning R


Nov19

How to attach an R - Project Package.

If you use R any length of time, you will soon learn that many functions you want to use exist in extensions called packages.
What is a package?
The R project has a main program that includes the default function many analysts use to plot, calculate and perform common tasks. It also permits programmers [...]

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Filed in: Learning R

Nov17

Read Data into R and Create A Histogram

This post describes what I did to make the very first file I read into the R project statistics package readable. If you obtain a file from some database, it is likely it will not be in a form suitable for reading into R and this may help you. Because I never feel [...]

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Filed in: Learning R


Nov17

The R manual & What’s in it.

Teaching myself R at home, with no resources other than the web is a bit daunting. But, I’m up for it. My step was to download the manual: An introduction to R
Inside, I find these section titles:

Preface.
Introduction and Preliminaries
Simple Manipulations, numbers, vectors.
Objects, their modes and attributes.
Ordered and unordered factors.
Arrays and Matrices.
Reading Data From Files.
Probability distributions.
Grouping, [...]

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Filed in: Learning R



 

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    • The Blackboard: Accounting for Measurement Uncertainty.
    • The Blackboard: Ninety Month Trends: IPCC AR4 2C/Century still outside ±95% uncertainty bands.
    • The Blackboard: Hypothesis test for 2C/century: now with Monte Carlo!
    • The Blackboard: Result of Boring Series: Gavin’s “Closer” Process Falsifies.
    • The Blackboard: Result of Boring Series: Gavin’s “Closer” Process Falsifies.