search for: 30.4

Hi Would anyone have any pointers on how to slice up a large zoo table. I have the following structure: - > str(ZOO_OBJ) ?zoo [1:632, 1:83] 30.4 30.4 30.4 30.4 30.3 ... ?- attr(*, "dimnames")=List of 2 ??..$ : NULL ??..$ : chr [1:83] "COL1" "COL2" "COL3" "COL4" ... ?- attr(*, "index")= POSIXct[1:632], format: "2009-05-01

Hi, I am curious about how to interpret the table produced by anova(ols(...)), from the Design package. I have a multiple linear regression model, with some interaction, defined by: ols(formula = log(ksat * 60 * 60) ~ log(sar) * pol(activity, 3) + log(conc) * pol(sand, 3), data = sm.clean, x = TRUE, y = TRUE) n Model L.R. d.f. R2 Sigma 1834 1203

Dear R-Users, I am working on an Hierarchical Bayes model and tried to replace the inner for-loop (which loops over a list with n.observations elements) with truely vectorized code (where I calculated everything based on ONE dataset over all respondents). However, when comparing the performance of the two alternatives, I found out that the code with the for-loop actually was faster! In order to

Hi everyone, I've run into a bit of strange problem with implicit vs explicit printing and the call stack. I've included an example at the bottom of this email. The basic problem is that I have an S3 object with a print method. When the object is implicitly printed (ie. typed directly into the console) the function arguments in the call stack are exploded out to their actual values,

I want to make such plot using the following data set plot Mean with Sd(+/-) by Dim group by Lac here is data Does anyone know how to plot using xyploy Thanks, Aimin Mean Sd Var Min Max Dim Lac 704 44.00000 NA NA 44.0 44.0 -30 3 703 45.92000 9.5484030 91.1720000 60.0 34.4 -30 4 702 57.40000 NA NA 57.4 57.4 -30

Hi all, I am trying to merge several data sets and end up with a long data format by date & time so I can run correlations and plots. I am using Deducer as an R GUI but can just use the R console if easier. The data sets are weather with wind speed, relative humidity and temperatures by date and minute and bat activity with date, time, label, and an activity index number. The bat

Hi everyone, This is about documentation for the model.frame() page. The get_all_vars() function (added in R 2.5.0) is a great addition, but the behavior of its '...' argument is different from that of model.frame() with which it is documented and this creates ambiguity. The current docs read: \item{\dots}{further arguments such as \code{data}, \code{na.action}, \code{subset}. Any

Hello R users, I have a substantial question about statistics, not about R itself, but I would love to have an answer from an R user, in form of an example in R syntax. I have spent whole Sunday searching in Google and browsing the books. I've been really close to the answer but there are at least three standard errors you can talk about in the linear regression and I'm really confused.

This is a bit of a cross-post but I've encountered what appears to be a parsing error with RTools on Windows in a couple of different contexts on Widows when R is installed on a secondary drive to avoid using precious space on my c:/ solid state drive. This type of apparent parsing error has has occurred several times previously when install source code from GitHub, and most recently when

Full_Name: Liming Liang Version: 1.8.1 OS: windows2000 professional Submission from: (NULL) (67.172.81.139) I was looking at the variable 'mpg' of the data file 'mtcars' and make a stem plot, the following is the commend I entered. The stem plot shows the largest observation is 32.9 but actually in the data the largest observation is 33.9, here might be a problem. >

Hmmm, you may know winbuilder: It has R not installed oin drive C: and works well. Even with R installed on a network share I can easily install packages. using R-devel binary in, e.g. for 64 bit: in d:/RCompile/recent/R/bin/x64 working directory: d:/library-devel specified library: c:/tmp > install.packages("GO.db", lib="c:/tmp") installing the source package

Hi! Here is some output from an str command: > str(CO2) Classes ‘nfnGroupedData’, ‘nfGroupedData’, ‘groupedData’ and 'data.frame': 84 obs. of 5 variables: $ Plant : Ord.factor w/ 12 levels "Qn1"<"Qn2"<"Qn3"<..: 1 1 1 1 1 1 1 2 2 2 ... $ Type : Factor w/ 2 levels "Quebec","Mississippi": 1 1 1 1 1 1 1 1 1 1 ... $

I asked this before and I am going to try again in more applied terms. I am trying to use R to extract variance components for a two-factor random effects model with both factors crossed. It would also be nice to generate some confidence intervals as well. For example, a data set using SAS Proc Mixed is below followed by the four variance component estimates and the respective confidence

The partial R-square (or coefficient of partial determination, or squared partial correlation coefficients) measures the marginal contribution of one explanatory variable when all others are already included in multiple linear regression model. The following link has very clear explanations on partial and semi-partial correlation: http://www.psy.jhu.edu/~ashelton/courses/stats315/week2.pdf In

mod_annodex 0.2.1 Release ========================= mod_annodex is a module for Apache httpd, and provides server-side support for annodex media. Parallel versions are available for Apache versions 1.3 and 2.0. Annodex is an open standards based technology that extends the World Wide Web's hyperlinking, searching, and compositing infrastructure to time-continuous data, enabling video

Hi, I have a dataframe like this: procedure property sensor_data sensor_date | | | | [1,] "PAT_Laser_2" "Distance" "30.42" "2010-09-30T15:00:12+0200" [2,] "PAT_Laser_2" "Distance" "31.22" "2010-10-31T15:05:07+0100"

Hi, I have been blessed with the "Numeric 2000 Plus" UPS, suspected to be of 2KVA rating. This UPS does not figure in the list of UPS recognised by NUT. However I get lucky with megatec driver. Here is the log... ----------------------------------------------------------------------------------------------------- Network UPS Tools - Megatec protocol driver 1.5 (2.0.5) Carlos Rodrigues

I have a set of modeled climate data recorded at irregular intervals. The format of the data is such that there are monthly measurements for the years 2000, 2020, 2050, 2080, etc. Therefore I have 12 regular records, a skip of some number of years, then 12 more monthly records, another skip, and so on.... I created a dataframe from .txt with the read.table() command. For starters I need

Hello R Users, I am new to R. I have two data sets i) TOMS aerosol optical depth(AOD) and ii) TOMS ozone(O3). > > AOD data is on 1x1 grid and O3 data is on 5x5 grid. > > First I want to read AOD and O3 as it is and then I want to regrid AOD on > 5x5 grid as O3. > > Reading is first problem. > > FIRST PROBLEM READING AOD: > > AOD data is in following format: >

Dear All, 1.I have been trying to aggregate my data but I have not been getting it correctly. In the data I want to convert hourly data into daily averages. Here is a sample of the data: Neph_no Date Time Temp_C Pressure_kPa RH 9 2014/03/28 10:00:00 38.4 95.9 29.7 9 2014/03/28 11:00:00 37.8 95.8 29.2 9 2014/03/28 12:00:00 36.7 95.8 35.1 9 2014/03/28 13:00:00 35.4 95.8 38.9 9