similar to: Fault geology xyz to raster

I have x, y, z data. The x, y fields dont change but Z does. How do I add a very small number onto the end of each x, y data point. For example: Original (X) Original (Y) Original (Z) 15 20 30 15 20 40 New (X) New (Y)

I want to use the aggregate function to summarize data by a factor (my field plots), but I want the summary to be the majority level of another factor. For example, given the dataframe: Plot1 big Plot1 big Plot1 small Plot2 big Plot2 small Plot2 small Plot3 small Plot3 small Plot3 small My desired result would be: Plot1 big Plot2 small Plot3 small I

Hi everybody, I recently used xyplot, but I found that for control flow can't work in the xyplot. The program code and some of my data file are shown as follow. Would someone please tell me where my code is wrong and how can make the code right? Thanks. Best regards Yuanzhen Lin Code: library("lattice") plot.data$Fam<-as.numeric(plot.data$Fam) #### xyplot can work if one

Hi, I would like to put the sample number beside each lable in a boxplot. How do I do this? Essentially, I need to count the sample size for each factor, see below: Thanks boxplot(DATA$K_Merge~factor(DATA$UnitName_1),axes=FALSE,col=colours) title(main=list("Tukey Boxplot by Geology:\n K(%)",cex=cexlb)) axis(1, 1:21, labels=FALSE, las=2) text(seq(1, 21, by=1), par("usr")[3],

Hi, this is not a new doubt, but is a doubt that I cant find a good response. Look this output: > m.lme <- lme(Yvar~Xvar,random=~1|Plot1/Plot2/Plot3) > anova(m.lme) numDF denDF F-value p-value (Intercept) 1 860 210.2457 <.0001 Xvar 1 2 1.2352 0.3821 > summary(m.lme) Linear mixed-effects model fit by REML Data: NULL AIC BIC

Hi, I just try to draw multiple plots in one page using R, I used par command. For example I have 7 plots, but instead of arranging them in the default way plot1 plot2 plot3 plot4 plot5 plot6 plot7 I want them in this order plot1 plot2 plot3 plot4 plot5 plot6 plot7 Could somebody tell me how to do this, please? Thanks so many. Suyan

I have two dataframes (df) that share a column header ("plot.id"). In the 1st df, "plot.id" records are repeated a variable number of times based on the number of trees monitored within each plot. The 2nd df only has a single record for each "plot.id", and contains a variable named "load" that is collected at the plot-level and is only listed once per plot

Dear List, I'm stuck on what seems like a simple indexing problem, I'd be very grateful to anyone willing to help me out. I queried a dataframe which returns a character vector called "plot". I have another dataframe from which I want to subset or select only those rows that match "plot". I've tried subset, and also the "which" command. plot

myDF <- data.frame(a = c("<0.1", NA, 0.3, 5, "Nil"), b = c("<0.1", 1, 0.3, 5, "Nil"), stringsAsFactors = FALSE) # you can subset the b-column in several ways myDF[ , 2] myDF[ , "b"] myDF$b # using the column, you make a logical vector ! is.na(as.numeric(myDF$b)) # This can be used to select the

Super, Thanks On Fri, Sep 22, 2017 at 4:57 PM, Boris Steipe <boris.steipe at utoronto.ca> wrote: > > a <- c("<0.1", NA, 0.3, 5, "Nil") > > a > [1] "<0.1" NA "0.3" "5" "Nil" > > > b <- as.numeric(a) > Warning message: > NAs introduced by coercion > > b > [1] NA NA 0.3

This may be asking too much, but I'm wondering if anyone has a solution (even a hack) for creating multiple (overlay) plots in an Sweave file and post-processing the overlays in beamer appropriately. For example, suppose I have a series of figure blocks in my .Rnw file: <<plot1,fig=TRUE>>= [stuff] @ <<plot2,fig=TRUE>>= [stuff] @ <<plot3,fig=TRUE>>=

Hi R people! I am looking for some suggestions writing an if-else function. The idea is to characterize different plots containing counts of variables (here parasites). If a plot has a count equal or higher than 4 for any parasite the function should return a 1 else a 0. Later I can loop the function over all plots. Here I have a little subset of my data: VariablePAR Plot1

Hi, Lets say this was a dataframe where I had two columns a <- c("<0.1", NA, 0.3, 5, "Nil") b <- c("<0.1", 1, 0.3, 5, "Nil") And I just want to remove the rows from the dataframe where there were NAs in the b column, what is the syntax for doing that? Thanks in advance On Fri, Sep 22, 2017 at 5:04 PM, Shane Carey <careyshan at

Always via logical expressions. In this case you can use the logical expression myDF$b != "0" to give you a vector of TRUE/FALSE B. > On Sep 25, 2017, at 8:00 AM, Shane Carey <careyshan at gmail.com> wrote: > > This is super, really helpfull. Sorry, one final question, lets say I wanted to remove 0's rather than NAs , what would it be? > > Thanks >

Hi R user,I am struggling to figure out on how I can calculate the average from the two tables in R. Any one can help me? really your help would be grateful- I am spending so much time to figure it out. It should not be so hard, I think. I have very big data but I have created a hypothetical data for simplification. for example I have : table 1 table 1: species occurance data

This is super, really helpfull. Sorry, one final question, lets say I wanted to remove 0's rather than NAs , what would it be? Thanks On Mon, Sep 25, 2017 at 12:41 PM, Boris Steipe <boris.steipe at utoronto.ca> wrote: > myDF <- data.frame(a = c("<0.1", NA, 0.3, 5, "Nil"), > b = c("<0.1", 1, 0.3, 5, "Nil"), >

Apologies, I cannot see how to make a rero for this issue. I have a function that uses levels(r) tor return the RAT of a raster "r" when the function is sourced from a script source(".\R\function.r") it works fine. when the function is built into a package and sourced from there library(mypackage) using the same script file to make the package levels(r)[[1]] the same line

Dear R's (most likely Hadley), I want to build a stacked bar plot where I would like to define which colours will be used for each of the groups. However, I do not seem to find a way to do this, even if I've been looking over many places. I have tried several variations, and my final try was this code, but I still do not manage to get the colours as I pre-define. Any hints about how

Hi, I have a set of x, y points where x represents dates and y actual values. I am trying to plot a line graph of the data with points on top, but R is connecting the wrong points with lines. Does anyone know how I can rectify this. Please see sample below: x= 24/09/2009 09:13 16/10/2009 11:17 24/10/2009 21:43 11/09/2009 18:34 22/08/2009 15:45 10/08/2009 00:30 14/08/2009 14:52 24/09/2009

Hi, Can R read in .xyz files? If so, what is the package, thanks -- Shane [[alternative HTML version deleted]]