similar to: Combining columns from two dataframes

Hi R users I apologise in advance for this question as I suspect it is simple and perhaps others have had this problem. I am struggling to sort out how to fix the x axes so that the labels don't overlap. I have put the following example together to show my problem. library(lattice) titre <- as.factor(rep(c(10999,20999,30999,40999,50999,60999,

I all I am just trying to get the idea of a loop if statement for another purpose. I was going to label a new variable based on date ie first week 1, second week 2 etc. My code in bold is wrong but seems logical to me, could someone help. x <- rep(c(2660156,2663703,2658165,2659303,2661531,2660914),c(2,2,2,2,1,1)) y <- rep(c(6476767,6475013,6475487,6479659,6477004,6476388),c(2,2,2,2,1,1))

Hi R users I am trying to create a spatial join between two datasets. The first data set is large and contains descriptive data including x and y co-ordinates. The second dataset is small and has been selected spatially. The only data contained within the second dataset is the x and y coordinates only i.e. no descriptive data. The aim of a join made between the two datasets is to select

Hi all I am trying to do a simple recode which I am stumbling on. I figure there must be any easy way but haven't come across it. Given data of A","B","C","D","E","A" it would be nice to recode this into say three categories ie A and B becomes "Treat1", C becomes "Treat 2" and E becomes "Treat 3". I tried

Hi all I have created a lattice graph but the text appears too big. Just wondering if there was a way I could change the font size. tp1.nDai=xyplot(value ~ yr | Name, data = nDai,type = 'o') update(tp1.nDai, aspect = c(0.8), layout = c(4, 4)) I would appreciate your help. Kind regards andy Andrew McFadden MVS BVSc Incursion Investigator Investigation & Diagnostic Centres -

Hi R users > I am trying to add a regression line to a graph for "c" for factor 2 > only. Any suggestions? > library(lattice) a=(1:10) b=c(1:5,16:20) c=as.factor(c(rep(1,5),rep(2,5))) d=data.frame(a,b,c) xyplot(a~b, pch=c(6,8),data = tavg, groups=d$c, reg.line=lm, smooth=FALSE, type=c("p","g"),xlab="a",ylab="b") > I would

Hi R users I trying to some aggregate statistics on a very large dataset. The null values are causing a problem. I would like to calculate aggregate values for groups. I am just no sure how to deal with the "" I would ideally like them to ignored ie if there is only 1 value over several columns than that value would be the summary statistic. I have put the following example together to

Hi R users I am trying to find unmatched data from two dataframes. I would like to find unmatched data based on several factors. For the following data: dat1 <- data.frame(x = paste("A", 1:6, sep=""), y = c("andy","bob","ciaran","dan", "eion", "fred")) dat1 dat2

Hi all I know this must be an easy one so sorry for the trouble. I would like to select a list of variables within a factor The following example is given in help for subset: subset(airquality, Temp > 80 select = c(Ozone, Temp)) So how do I select all temperatures of 90 and 80 ie Temp = c(80,90) I would appreciate your help. Kind regards andy Andrew McFadden MVS BVSc Incursion

Hi R users The scatterplot (used package R-Cmdr ) obtained has the legend off the plot in the upper left I would like to decide where to put the legend - is that option still available and how do I do it? code: Dataset <- read.table("J:/Pigmatingsb.txt", header=TRUE, sep="\t", na.strings="NA", dec=".", strip.white=TRUE)

Hi all The code of trying to write relates to selecting properties (given by x and y co-ordinates) spatially (distance "X" from "infected" properties identified by date) over a certain time period. i.e. what properties are within 3 km from properties infected on "2008-01-01" over the last 14 days. Is any one able to give me some clues on how to write code to solve

Hi all I hope you might help me with some aspects of producing a graph in lattice. There are three things I have struggling with and that is: 1. to separate the horizontal box rows from each other; 2. to change the colour of the horizontal and vertical strips to white; and 3. to place the axes labels on the left y axes and on the bottom x axes. I would really appreciate some help. I have put the

Hi all I am trying to determine the distances between two datasets of x and y points. The number of points in dataset One is very small i.e. perhaps 5-10. The number of points in dataset Two is likely to be very large i.e. 20,000-30,000. My initial approach was to append the first dataset to the second and then carry out the calculation: dists <- as.matrix(dist(gis data from 2 * datasets))

Hi all I am trying to calculate the instantaneous hazard (rather than cumulative hazard) for an event "bird death". Some sample data is as follows: year<-c(rep(2003,10),rep(2004,10)) time<-c(5,10,5,15,20,10,15,15,25,25,5,15,15,5,25,10,25,15,35,25) event<-c(1,0,1,1,0,1,1,0,1,0,1,0,0,1,0,0,0,0,1,0) Ideally I would like to know if the hazard is greater at specific time periods

Hi all I was wondering if it is possible to get rid of the horizontal strips and produce each barchart with a left y axes and lower x axes only. Also can you specify an exact size of graph ie 88mm wide with a font size of 'x'. library(lattice) library(latticeExtra) n=as.factor(c(1:5,1:5))

I all I am trying to create a matrix for a network diagram: # 1. The following produces two dataframes. The table "place" is a dataframe of all places made from "tra" a tracing table that has the source place and destination place. The table "details" is a dataframe of all source and destination properties. src=rep(c(1:3),each=5) des=c(16:30) rsk=rep(3,5)

Hi There I am a new user of "R" and having a few problems a<-c("2001-02-1","NA","NA") a<-as.Date(a,format = "%Y-%m-%d") b<-c("2001-03-1","2001-03-2","2001-03-3") b<-as.Date(b,format = "%Y-%m-%d") c<-data.frame(a,b) I would like to write an if statement where if "a" is not null

Hi R Users I am working with the very useful SNA package (v.2.2) in R and have a query I hope you may be able to help out with: I have been using gplot commands to plot an SNA graph. Here's the code and output: library(sna); library(network); library(RODBC) setwd("c:\\temp") x = read.csv(file = "testforr.csv") Total.Sold=c(1,3,6,1,3,6,1,3,6,6,9) src=c(1:10,1)

Greetings, Does anyone know of an R code for classification and regression tree analysis (CART)? Thank you Ron Ron Thornton BVSc, PhD, MACVSc (pathology, epidemiology) Programme Co-ordinator, Active Surveillance Animal Biosecurity MAF Biosecurity Authority P O Box 2526 Wellington, New Zealand phone: 64-4-4744156 027 223 7582 fax: 64-4-474-4133 e-mail: ron.thornton at maf.govt.nz

Hi Louis, You could try this: # find the index of the maximum value in each row of _data_, # disregarding the last column classified <- apply(data[,-(nclass+1)],1,which.max) ## or, if the maximum may be repeated: classified <- apply(data[,-(nclass+1)], 1, FUN = function(x) which(x == max(x))) # the variable _truth_ is just the last column of _data_ ? truth <- data[,nclass + 1] ?table