similar to: AIC in MuMIn

Dear List, Some independent variable were missing in calculation using lm and glm (gaussian). (X= Y1+Y2+…..+Y16, Independent number: 16 variable) However, those variables did work well in cor(X, Y) respectively. str(dataframe) was also run to ensure that the variables were all numbers. Moreover, the missing variables were different in lm and glm. In lm, 3 factors were not taken into

Dear List, I tried to do cca based on species data and environmental variables (formula instead of community data). However, there was an error saying row sums must be >0. I searched the previous related messages but found few solutions. Please kindly help and thank you in advance. code This is vegan 1.17-3 Warning message: package 'vegan' was built under R version 2.10.1

Hi, I'm trying to save heatmaps as PDFs. However, the PDF version of the heatmaps (Heatmap_CAFvsTNF_run2.pdf) is blurred when compared to its counterpart, which was saved manually by using the software "Grab" (Heatmap_CAFvsTNF_run2.tiff). -----R code-------- sample_output <- "stroma_run2" filename <-

Among others, datam contains the columns: logconc, tm, dose, subj, bilirubin. None of these are factor variables. The following compartment models work (the first still has not converged after 100 interations): res1 <- nlme(logconc~p2+p3+log(dose/(exp(p1)-exp(p2))* (exp(-exp(p2)*tm)-exp(-exp(p1)*tm))),start=list(fixed=c(5,-2,-0.1)), fixed=list(p1+p2+p3~1),control=list(maxIter=100),

In R, I'm imported a data frame of 2,321,123 by 4 called "dataF". I converted the data frame "dataF" to a matrix dataM <- as.matrix(dataF) Does R have an efficient routine to treat the special elements that contain "inf" in them. For example, can you separate the rows that have "inf" elements from the matrix into a separate matrix without

Dear All- I am trying to merge two data files - they have different date formats and different times zones. I need to match up the date/time of the datasets and then invoke a conditional statement, such as: if dataC$mph is >= 12 then keep dataM$co23 for the corresponding time/date stamp. snippets of data files: *dataC.txt* LST in mph Deg DegF DegF2 % volts Deg

In addition to which, I would recommend df <- read.table("DATAM", header = TRUE, fill = TRUE, stringsAsFactors=FALSE) and then converting the Time column to POSIXct date-time values using as.POSIXct() specifying the format using formatting codes found in ?strptime because the times are not in the POSIXct default format. This example might indicate the idea: >

I use the method, df$Time = as.POSIXct(df$Time), but it has the warning message: Error in as.POSIXlt.character(x, tz, ...) : character string is not in a standard unambiguous format On Thu, Dec 14, 2017 at 1:31 PM, MacQueen, Don <macqueen1 at llnl.gov> wrote: > In addition to which, I would recommend > > df <- read.table("DATAM", header = TRUE, fill = TRUE, >

On Thu, Dec 14, 2017 at 1:58 PM, Berend Hasselman <bhh at xs4all.nl> wrote: > >> On 14 Dec 2017, at 19:36, lily li <chocold12 at gmail.com> wrote: >> >> Hi R users, >> >> I have a question about reading from text files. The file has the structure >> below: >> >> Time Column1 Column2 >>

Hi - How can I add different notes in different panels? My data looks like ID Dose Visit Value 1 1 0 0.5 -6.5802e-02 2 1 0 1.0 2.4085e-01 3 1 0 1.5 -2.2907e-01 4 1 0 2.0 2.4074e-01 ... ... ... ... ... 270 45 30 3.0 -8.1316e-01 271 46 30 0.5 -2.0786e-01 272 46 30 1.0 -2.9336e-01 273 46 30 1.5 -5.5657e-01 274 46 30 2.0 -2.1659e-01

Hello I have a problem on keeping the format when I export a matrix file with the write.table() function. When I import the data volcano from rgl package it looks like this in R: > data[1:5,] [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] [1,] 100 100 101 101 101 101 101 100 100 100 101 101 102 102 [2,] 101 101 102 102 102 102 102

Hi R users, I have a question about reading from text files. The file has the structure below: Time Column1 Column2 01.01.2001-12:00:00 01.01.2001-24:00:00 12 11 01.02.2001-12:00:00 13 10 01.02.2001-24:00:00 11 12 01.03.2001-12:00:00 15 11 01.03.2001-24:00:00 16 10 ... I

I'm using pairs() to generate a scatterplot matrix; pairs(~ Fuzzy.gray.white.ratio+Fuzzy.gw.t.score+AgeWhenTested+signal_mean.noise, data=datam,subset=status=="control",main="Controls", labels=c("G/W","Peak Separation","Age","S/N")) How can I add regression lines to the plots?

> On 14 Dec 2017, at 19:36, lily li <chocold12 at gmail.com> wrote: > > Hi R users, > > I have a question about reading from text files. The file has the structure > below: > > Time Column1 Column2 > 01.01.2001-12:00:00 This line does not contain 3 elements; only one. You'll have to fix that line. Delete it, prepend it with a

Hello I want to predict wing length using regression commands. (lm and predict) The data details are as followed Data: Bird physiological data 1. body mass 2. body length 3. wing length Data type: Order A: consisting of 20 species, body mass and length of all 20 species are measured Order B: consisting of 2 species, body mass and length of only 1 species is measured Order C:

I want to generate a lattice plot of a multiple linear regression. I'm using the code: xyplot(y ~ x1 + x2 | status, data=datam, xlab="Peak separation",ylab="G/W",main="G/W vs Fuzzy peak separation: Threshold=1.8", groups=Fuzzy.gw.t.score>1.8, subset=(status %in% c("control","patient","sibling")),

I am using heatmap with the arguments below. The title size stays the same no matter what I set cex.main to. Is this expected? Can I adjust the title size in heatmap? Also, the position of the main title is at the very upper edge of the output and if I use a "\n" to stack the title the upper line is out of bounds and doesn't show up. I am outputting to pdf. Any help? Thanks,

Hello I have a table describing butterfly range traits. It is composed of three columns as below Species name range size (X) latitude of range midpoint (Y) There are 11 kinds of butterflies. Each has its range size, and the latitude of each range midpoint ranges from 9 to 19. I would like to have the average range size of every degree of latitude. For example, the average range

Hi, I'm trying to plot bar graphs with stacked columns marked with askterisks for certain columns, which follow certain criteria. I've gotten the stacked bar plots with Data set A (please refer to code below). However, I haven't figured how to put asterisks on columns based on some extra information (such as "used/unused") as in Data set B i.e. asterisks at the

Dear lme and lmer -ers, I have some problems using "home-made" contrast matrix in lme and lmer. I did an experiment to investigate the relationship between the response of an animal and some factors, namely the light wavelength (WA), the light intensity to which this animal was exposed and the sex of the animal tested. - The response can be a variable LA (normal distribution) or