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 [...]
Archive for the 'Learning R' Category
Accounting for Measurement Uncertainty.
Filed in: Climate Sensitivity Data Comparisons GHE IPCC Learning R Uncategorized
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. [...]
Filed in: Learning R Uncategorized
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 [...]
Filed in: Data Comparisons Learning R
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, [...]
Filed in: Learning R
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 [...]
Filed in: Learning R
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 [...]
Filed in: Learning R
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, [...]
Filed in: Learning R

