similar to: Exponential regression

Hi all, I have a dataset which consists of 2 columns. I'd like to plot them on a x-y scatter plot and fit an exponential trendline. I'd like R to determine the equation for the trendline and display it on the graph. Since I am new to R (and statistics), any advice on how to achieve this will be greatly appreciated. Many thanks, Chris -- View this message in context:

Hi all, I have imported a value 3:00 from Excel into R using read.csv. I want R to recognise it as 3:00am (time data). How do I do it? Thanks in advance, Chris -- View this message in context: http://n4.nabble.com/R-treating-time-tp1008608p1008608.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I have a dataset similar to the following Name Date Value A 1/01/2000 4 A 2/01/2000 4 A 3/01/2000 5 A 4/01/2000 4 A 5/01/2000 1 B 6/01/2000 2 B 7/01/2000 1 B 8/01/2000 1 I would like R to remove duplicates based on column 1 and 3 only. In addition, I would like R to remove duplicates based on the underlying and overlying row only. For example, for A, I would like to remove row 2 only

Hi all, I have written a note near each of my graphs using mtext. mtext(text,side=1,line=4,cex=0.5,adj=0) Then I have exported the graphs as a PDF file. pdf(file=name,paper='a4',width=7.27,height=10.69) The mtext appears OK in R. But it looks like it is bolded in the PDF file. http://n4.nabble.com/file/n2016971/graph.png I am not sure if this is actually my monitor/computer's

Hi everyone, I have written a script which exports my graphs as a PDF file using the function pdf(). For instance, I run the script and it exports a PDF called "version 1". Then, I have got a new dataset and want to run the script again. What it usually does is overwriting "version 1". But I want it to check if "version 1" already exists. If so, then I want the new

Hi I would like to display the trendline and the R-square value in a xy scatter in R. For example if I want to plot f vs g I add the trendline using the commands below >library(quantreg) >plot(f,g) >abline(rq(g~f)) however I don't know how to display the R2 in the graph. Thank you in advance. Kind regards Maria [[alternative HTML version deleted]]

How to add trendline (i.e. straight line passing through maximum points) in graph. I have worked on the data given below. Please tell me how to add trendline in the graph. The script is as follows =================================== start ==================================================== # The data is as follows data <- c( 0.01, 0.02, 0.04, 0.13, 0.17 , 0.19 , 0.21 , 0.27 , 0.27 ,

Dear all, I am using abline(lm ...) to insert a linear trendline through a portion of my data (e.g. dataset[,36:45]). However, I am finding that whilst the trendline is correctly displayed and representative of the data portion I've chosen, the line continues to run beyond this data segment and continues until it intersects the vertical axes at each side of the plot. How do I display the

Dear all, I have data in the following format : X-axis Y-axis <0 10% 0-20 20% 20-40 30% 40-60 40% ......... and so on. I want to plot a bar graph of the above. Also I would want to add a trendline passing either through the center of each bar or through the top. Is it also possible to get the r-squared and p-values for

Hi, Is there a way to plot trendline with quantmod package? There is addLines function in the package but I can't seem to figure out how to use it (not well documented): > args(addLines) function (x, h, v, on = 1, overlay = TRUE, col = "blue") NULL so arguments "h" and "v" add horizontal and vertical lines. How does argument "x" work? I would like

I am hereby forwarding the data & method use to calculate the Kolmogorov-Smirnov goodness of fit test made manually by me in R launguage which deffers with the actual inbuilt formula as shown below. Further I have plot the graph in R. In that graph how to add trendline (i.e. straight line passing through maximum points in plot) to a Plot. R script is as follows please run this script to see

Hi all, I have got 27 graphs to export (not a lot...I know!). How can I fit all of them into a single file like PNG without adjusting the size of the graphs? What's in my mind is like pasting graphs into Word, in which I can just scroll down to view the graphs. Thanks for your attention. Much appreciated. Chris -- View this message in context:

Hi, I am trying to fit a logarithmic trendline to a scatterplot of a species accumulation curve. I've tried abline, lines, curve and scatter.smooth but none of these work. Can anyone help please, Kyran

Hi everyone, I'm trying to determine the significance of a trendline. From my internet search months ago, I came across the following post. I modified tim and dat for simiplicity. tim <- 1:10 dat <- c(0.17, 1.09 ,0.11, 0.82, 0.23, 0.38 ,2.47 ,0.41 ,0.75, 1.44) fstat <- summary(lm(dat~tim))$fstatistic p.val <-

I am working on a methodology for qualifying R, for GLP and GCP. If I quailfy only the base R install, with no contributed packages, it seems relatively simple to qualify R. However, from time to time I will want to use a contributed package. If I use a contributed package, does it leave anything behind that will be loaded with the next invocation of R? Suppose I run R and use a contributed

I have a simple plot: ggplot(polls, aes(x =Date, y = Popular_Support, colour=Party, shape=Source)) + stat_smooth(span=0.5) + geom_point() How can I get the smooth to only render along one of the scales? ie, I want to see regressions for each colour, but not each shape. Right now I get a trendline for each colour and and shape... resulting in an unreadable mess =D Thanks! -- View this message

OK this is bound to be something silly as I'm completely new to R - having started using it yesterday. However I am already warming to its lack of 'proper' GUI... I like being able to rerun a command by editing one parameter easily... try and do that in a Excel Chart Wizzard! I eventually want to use it to analyse some chemotherapy response / survival data. That data will not be

Dear All, I am new to R and slowly learning how to use the system. The following code is an exercise I was trying. The intent is to generate 10 random samples of size 5 from a vector with integers 1:10 and 2 missing values. I then want to generate a matrix, for each sample which shows the frequency of missing values (NA) in each sample. My solution, using sapply is at the end. If anyone has the

Hi all, I have got a dataset like the following: a b c 1 5 2 3 7 I am taking the minimum of each column and use it as the minimum of the y-axis of my graphs. My scripts (simplified version) are like the following: f<-array f[1]=a f[2]=b f[3]=c for i in 1:3 name=f[i] ymin<-min(dataset$f[i]) plot(x,y,ylim=c(ymin,100)) The script stops at b, because the min function returns inf

Hi all, I am new to R and I have got a question in regards to factors. Say I have a simple dataset like the following: Name Time Value a 1:00 1.25 a 2:00 1.26 b 1:00 1.29 b 2:00 1.28 c 1:00 1.21 c 1:30 1.20 c 2:00 1.23 I want to write a script that automatically plot value against time for a, b and c.