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Hi evrybody, in a matrix consisting of 49 columns, I would like to plot all columns against the first in 48 different graphs. Can you help me? Thank you in advance Sebastian -- *************************************************************************************************************** Dipl. Biol. Sebastian Krug PhD - student IFM - GEOMAR Leibniz Institute of Marine Sciences Research

Hi, I am just starting using R. Hence, sorry for asking probably rather easy questions. I used "read.table" to bring an .txt Table to R. Unfortunately the columns do not have the same length. I tried "fill=TRUE", to fill the blank space with "na". In a certain kind of way it worked, but befor filling the spaces it moved data from later columns to the first: 1

Hello R Users, Whether 'R' can import Netcdf format data files ?? Any package in 'R' that can help me on this front ?? Many thanks in advance, Regards, Yogesh -- =========================================== Yogesh K. Tiwari, Max-Planck Institute for Biogeochemistry, Postfach 10 01 64, D-07701 Jena, Germany Office : +49 3641 576376 Fax : +49 3641 577300 Home : +49

Hello R Users, I am a new user to R. When we make a simple plot then how to increase the font size of the data at the each axis. Many thanks, Kind regards, Yogesh -- =========================================== Yogesh Tiwari, Max-Planck Institute for Biogeochemistry, Hans-Knoell Strasse 10, D-07745 Jena, Germany Office : 0049 3641 576 376 Home : 0049 3641 223 163 Fax : 0049 3641

Is there a function that calculates the inter-rater agreement index (kappa) in R? Thanks ../Murli [[alternative HTML version deleted]]

Hi, It's probably a simple issue but I'm struggling with that. I'll use the example shown in the help page. head(Indometh) wide <- reshape(Indometh, v.names="conc", idvar="Subject", timevar="time", direction="wide") head(wide) reshape(wide, idvar="Subject", varying=list(2:12), v.names="conc",

Dear R-SIG-Debian Team, r-devel sent me to you. Situation: Ubuntu 16.04, R-3.3.1, and a file in a folder mounted with sftp via gnome virtual file system. for(i in 1:10){cat(i,file = "/run/user/1001/gvfs/sftp:host=server/path on server/test2",append = TRUE)} gives a file that reads |10| and not |12345678910| Further checking: * A mapped network drive on Windows 7 and

Hi, I have developed a logistic regression model in the form of (factor_1~ numeric + factor_2) and would like to perform a cross-validation or some similar form of sensitivity analysis on this model. using cv.glm() from the boot package: # dataframe from which model was built in 'z' # model is called 'm_geo.lrm' # as suggested in the man page for a binomial model: cost <-

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, When I plot any data with simple plot command in R, for example :- plot(time,co2,ylim=c(350,380),xlim=c(1993,2003),xlab=NA,ylab=NA,type="p",col=5) Then the first value of x-axis(350) and y-axis(1993) never starts from origin, always they sifted from the origin. Is there any command that I can correct this in the ploted figure and both the axis values start from origin.

Hello 'R' Users, I am very new on 'R', so excuse me if I ask something wrong. I have ASCII data and the colums of the data are looks like :- !------------------------- time,yr,mo,dy,hr,min,sec,lat,lon,ht,co2obs,sigma,co2model -- - -- !---------------------------- Each column has data value. Now I want to produce 2-d color maps, for example the plot should look like :- on

Hello: I would like to superimpose vector polygons (state outlines) from a Shape file on top of a satellite image, imported into a SpatialGridDataFrame from GEOTIFF via gdal_translate and readGDAL. When I plot polygon and point shape files in R, into SpatialPointDataFrame and SpatialPolygonDataFrame, the two feature sets line up geographically, so it seems logical that a SpatialGridDataFrame

Greetings: As I am not a windows user, I cannot try this: is it possible to install rgdal on windows without having to compile it from source ? Compilation on MacOS is within my abilities, however each time i try and install the rgdal package it dies complaining that it cannot find gdal-config --- which was recently installed with GRASS. I have updated my PATH environment variable, logged

Hi everyone, Suppose I have a count the occurrences of positive results, and the total number of occurrences: pos <- 14 total <- 15 testing that the proportion of positive occurrences is greater than 0.5 gives a p-value and confidence interval: prop.test( pos, total, p=0.5, alternative='greater') 1-sample proportions test with continuity correction data: 14 out of

Greetings R users, maybe there is someone who can help me with this problem: I define a function "optim.fun" and want as output the sum of squared errors between predicted and measured values, as follows: optim.fun <- function (ST04, SM08b, ch2no, a, b, d, E) { predR <- (a*SM08b^I(2)+b*SM08b+d)*exp(E*((1/(283.15-227.13))-(1/(ST04+273.15-227.13)))) abserr

Dear Help I'm new to R (from matlab)...using windows XP. I've tried to work out, to no avail, 4 things: 1) rotating the numbers on axes...something to do with par(str) ?? 2) how to close a window having opened one e.g. windows(7,7) 3) how to manipulate the key (e.g. dots, lines etc) on the legend. Using pch just gives me the same key for all functions on a plot. i.e. legend

Greetings, I am trying to add an extra labled axis in position 3 (top x-axis), with numbers that do not match up with the existing axes. Surely this must be possible, and I am just doing it incorectly. So far I have tried the following: #make a plot plot(TIK, type="l", cex=.25, xlim=c(2,32), ylim=c(0,1600)) #try and add a new axis with different numbers in position 3

Greetings, I have two matrices, read in from raster data stored in GRASS. Each matrix represents the output of a aggregation process on categorical data (Nomial / Ordinal) - derived from imagery. I have compared these two data by the following methods: ***** pretending the data is continuous approaches (flawed i am sure...) 1. computing a difference map by computing the absolute difference

Greetings, I am using both the lrm() {Design} and glm( , family=binomial()) to perform a a logisitic regression in R. Apart from the typical summary() methods, what other methods of diagnosing logistic regression models does R provide? i.e. plotting an 'lm' object, etc. Secondly, is there any facility to calculate the R^{2)_{L} as suggested by Menard in "Applied Logistic

Greetings: are there any simple ways to convert an sp class object to a splancs ppp class object, outside of reading the coordinates and computing a bounding box? cheers, -- Dylan Beaudette Soils and Biogeochemistry Graduate Group University of California at Davis 530.754.7341