similar to: standardizing data

Hello all, I have two questions about anova (one is probably VERY basic...) 1 - when one asks for a summary of a trend surface created with surf.ls, he/she gets: > summary(g3r) Analysis of Variance Table Model: surf.ls(np = 3, x = gradiente$east, y = gradiente$north, z = gradiente$num1) Sum Sq Df Mean Sq F value Pr(>F) Regression 215.7182 9 23.968693976

Hi there, I am attempting to assess whether there is a trend in a observations of a population that was observed on 7 consecutive days in July for 6 years (2000, 2001, 2002, 2004, 2006, 2008). I have count data of the number of observations per day for each of the seven days for each of the 6 years (total of 42 days of count data). Is there a package in R that can accomplish this? I have

Hello R community, I would like to test for learning effects by subjects in my experiment. Each subject participates in six consecutive auction rounds of the same treatment. The response variable is the efficiency of an auction outcome measured by a real number. Since the efficiency increases over the six rounds, I suppose that subjects learn about the rules of the auction institution, but I

Hello, I am attempting to get the standard deviation in multiple distance bins in my spatial data. It appears as though the 'variog' command in the geoR package will do the trick, as one of the outputs from 'variog' is 'variog$sd', which, according to the manual, is the "standard deviation of the values in each bin". However, when I run this command, the

Hi, I'm astudent in hydrobiology and I actually work on river's discharge and try to extract from my data the seasonal and trend components. I use STL function but I have several problems in understanding what this function have done. I'd like to know what means the IQR results which gave me some % about the seasonal component, trend component and the remainder component.

Hello: I am using R mainly on windows XP, version 2.5. I?m a biologist, with a medium level statistics background. I have a problem stating a two-way factorial design where both factors are random. I?m using the lmer() function implemented in the Matrix package version 0.99. My design is as follows: Two species were randomly selected from a total of 4 species. This species are present

I'd like to use linear and quadratic trend analysis in order to find out a change in slope. Basically, I need to solve a similar problem as discussed in http://www.gseis.ucla.edu/courses/ed230bc1/cnotes4/trend1.html My subjects have counted dots: one dot, two dots, etc. up to 9 dots. The reaction time increases with increasing dots. The theory is that 1 up to 3 or 4 points can be counted

I'm having trouble with alignment of a trend line overlayed onto an image plot. The two should be plotted on the same x-axis (time-series). However, the trend line begins about an inch into the image plot x-axis and ends about an inch off of end of the image plot. Once I have the alignment sorted, I need to put a secondary y-axis on the image plot which is scaled for the trend line. An

Hi, Im using geoR and I'm trying to do some predictions, based on an external trend. I'm having some problems specifying my model.control, specifically how do I define my model, and also the source of the covariate data at the prediction locations? I am assuming that the covariate data at the prediction locations should be imported to a geodata object along with the prediction location

Dear all, I'm performing RDA on plant presence/absence data, constrained by geographical locations. I'd like to constrain the RDA by the "extended matrix of geographical coordinates" -ie the matrix of geographical coordinates completed by adding all terms of a cubic trend surface regression- . This is the command I use (package vegan): >rda(Helling ~

hi, i am new in this field. do favorite<http://stackoverflow.com/questions/36404707/simulation-study-of-2-sample-test-on-different-combination-of-factors#> If I wish to conduct a simulation on the robustness of two sample test by using R language, is that any ways in writing the code? There are several factors (sample sizes-(10,10),(10,25),(25,25),(25,50),(25,100),50,25),(50,100),

Hi, all - I've been digging into the question of using rsync to sync up compressed data, and read with interest the conversations regarding the rsync friendly patch available for gzip (I belive Rusty provided this patch). For anyone interested, the message thread is archived at http://lists.samba.org/archive/rsync/2002-June/thread.html. The broad outline of this approach were mentioned in

Dear All, A problem almost taken from a textbook: I have two independent samples (which are both assumed to come from a normal distribution). The sample sizes are N1 and N2, the sample means are x1 and x2 and the sample standard deviations are s1 and s2 (the standard deviations are close). I would like to conduct a two sample t-test with equal variances at alpha=0.05 (and then remove the

Hi All, I am a PhD student in forestry science and I am working with LiDAR data set (huge data set). I am a brand-new in R and geostatistic (SORRY, my background it?s in forestry) but I wish improve my skill for improve myself. I wish to develop a methodology to processing a large data-set of points (typical in LiDAR) but there is a problem with memory. I had created a subsample data-base but

Hi! I am searching for the Cochran-Armitage-trend-test. Is it included in an R-package? Thank you! --

Hi, my name is Giacomo. I would like to know how to create a Trend variable in a regression using R. Thank you for your help. My best regards, Giacomo --------------------------------- [[alternative HTML version deleted]]

Dear R experts, I have a problem that is a related to the question raised in this earlier post https://stat.ethz.ch/pipermail/r-help/2007-January/124064.html My situation is different in that I have only 2 predictors (coordinates x,y) for local regression but a number of global ("parametric") offsets that I need to consider. Essentially, I have a spatial distortion overlaid over a

-----Original Message----- Message: 6 Date: Mon, 20 Jan 2003 01:11:24 +0100 From: Martin Michlmayr <tbm at cyrius.com> To: r-help at stat.math.ethz.ch Subject: [R] quadratic trends and changes in slopes I'd like to use linear and quadratic trend analysis in order to find out a change in slope. Basically, I need to solve a similar problem as discussed in

Greetings, Experimenting with the cluster package, and am starting to scratch my head in regards to the *best* way to standardize my data. Both functions can pre-standardize columns in a dataframe. according to the manual: Measurements are standardized for each variable (column), by subtracting the variable's mean value and dividing by the variable's mean absolute deviation. This

Hello. I'm am trying to follow a recommendation to deal with a dependent variable in a linear regression. I read that, due to the positive trend in my dependent variable residual vs mean function, I should 1) run a linear regression to estimate the standard deviations from this trend, and 2) run a second linear regression and use 1 / variance as weight. These might be terribly stupid