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Hi there, I'm trying to apply the Mann Kendall test for trend analysis of a time series. I have downloaded and installed the package Kendall and subsequently loaded it into the software. My time series is a .txt file with 2 columns - column 1 is the year (1985 - 2009) and column 2 is the corresponding entry variable. According to the R guidelines, the call should be: MannKendall(x)

Hello, Computing language really isn't a strength of mine - I'm trying to run a model which has been passed on to me and I need to convert it into a dll, so it is usable in R, but I'm finding the documentation very hard to follow. Could someone possibly provide me a very quick script to do this using the Command Prompt function (I'm using Windows 7). Details as follow:

Hello all, I've run a Spearman's Rank test to discern relationships between landscape characteristics and a specific aspect of river behaviour. I've executed a correlation matrix between the one dependent variable and all of the predictors, which gives me a nice output of Spearman's Rho values. However, I also need to somehow find the "p" value, to assess the strength

Hello all, I'm relatively new to "R" and programming in general - I had previously used MatLab, but decided to make the transition to R, as the computational times are much better! Anyway, I'm trying to use R to run a gamma distribution model to estimate mean transit times of water moving through a hydrological catchment. My input are 3 .txt format files as follow: