similar to: Automated plot and linear regression line/data

Displaying 20 results from an estimated 4000 matches similar to: "Automated plot and linear regression line/data"

2010 Aug 18
5
Linear regression equation and coefficient matrix
Hi, I have 20*60 data matrix (with some NAs) and I wish to perfom a Pearson correlation coefficient matrix as well as simple linear regression equation and coefficient of determination (R2) for every possible combination. Any tip/idea/library/script how do to so. Thanks, As hz -- View this message in context:
2010 Aug 19
1
Correlograms and linear regression
Dear all, I generated a Correlograms and used the panel.ellipse (confidence ellipse and smoothed line) option. Is there a way to get instead of the smoothed line the linear regression? Thanks, As hz -- View this message in context: http://r.789695.n4.nabble.com/Correlograms-and-linear-regression-tp2331071p2331071.html Sent from the R help mailing list archive at Nabble.com.
2011 Sep 05
1
ggplot2-grid/viewport and PNG
Dear All, The following code save my graphs as pdf: pdf("j:/mix.pdf", width = 18, height = 16) grid.newpage() pushViewport(viewport(layout = grid.layout(3,1))) vplayout <- function(x, y) viewport(layout.pos.row = x, layout.pos.col = y) print(Aplot, vp = vplayout(1, 1)) print(Bplot, vp = vplayout(2, 1)) print(Cplot, vp = vplayout(3, 1)) dev.off() How can I save it in
2011 Aug 24
1
Scatter plots, linear regression in ggplot2
Hi, Based on some modification that I did to the R Cookbook Graphs Scatterplots code, link:http://wiki.stdout.org/rcookbook/Graphs/Scatterplots%20(ggplot2) I have some questions and I will appreciate a help: - How do I change the legend title? - How can I change the for each linear regression its color and linetype? - How can I add for both the linear regression lines their equations and Rseq
2010 Oct 18
2
Sine function fitting
Hi, Is there a package to perform a sine function fitting to XY data? Thx, Ashz -- View this message in context: http://r.789695.n4.nabble.com/Sine-function-fitting-tp3000156p3000156.html Sent from the R help mailing list archive at Nabble.com.
2011 Aug 22
1
lattice to ggplot2 conversion help
Hi, I am interested in ggplot2 and I found this lattice code very interesting (http://addictedtor.free.fr/graphiques/graphcode.php?graph=48). Code: library(lattice) lattice.options(default.theme = canonical.theme(color = FALSE)) tmp <- expand.grid(geology = c("Sand","Clay","Silt","Rock"), species = c("ArisDiff",
2010 Mar 01
2
Simple Linear Autoregressive Model with R Language
Hello - I need to do simple linear autoregressive model with R software for my thesis. I looked into all your documentation and I am not able to find anything too helpful. Can someone help me with the codes? Thanks Emil [[alternative HTML version deleted]]
2009 Jul 22
2
All possible linear models given multiple explaining variables
Hi, I would like to have a script/function (or write one) that can calculate the linear models for all possible combinations of explaining variables. Eventually I would like to end up with a data base (or data frame) giving for each model the R2, R2adj, AIC etc. Currently I'm a bit stuck while writing my own script using the lm() function from the base package. Also, I haven't fund any
2005 Oct 14
2
run many linear regressions against the same independent variables in batch
R function lm(response ~ term) allows me to run a linear regression on a single response vector. For example, I have recent one year historical prices for a stock and S&P index. I can run regression of the stock prices (as response vector) against the S&P index prices (as term vector). Now assume I have 1000 stocks to run the above regressions (against the same S&P index prices).
2007 Aug 16
4
Linear models over large datasets
I'd like to fit linear models on very large datasets. My data frames are about 2000000 rows x 200 columns of doubles and I am using an 64 bit build of R. I've googled about this extensively and went over the "R Data Import/Export" guide. My primary issue is although my data represented in ascii form is 4Gb in size (therefore much smaller considered in binary), R consumes about
2008 Apr 11
2
Help load a package into R
Dear R List, I want to download kinship_1.2_S.tar.gz in http://mayoresearch.mayo.edu/mayo/research/biostat/splusfunctions.cfm to R. Once save this file to C:\, how I could load into R? I am working in Windows XP. Usually what I do is, I go to "packages" and then "install packages from local zip files". This procedure fails for .tar.gz files. Can someone help here please....
2010 Jul 16
2
Recommended way of requiring packages of a certain version?
What is the recommended way of requiring a certain version when loading a package (or, indeed, from R itself)? Perl has the require module version use module version require version use version constructs which is kind of what I am looking for (especially 'use' which is evaluated at compile time), but R seems to have lost the version= argument to require(). The best I have been able
2010 Aug 05
1
using grib files in R
I am not new to R, but I am new to .grib files. I am downloading some climate data and I would like to analyze it in R. R has a nice netcdf package, but I don?t see any package available to deal specifically with grib files. I see a few posts from other people using grib files in R. However, I was unclear if they used grib files in a different software program and then imported the data
2013 Jul 10
3
PCA and gglot2
Hi, I was trying as well as looking for an answer without success (a bit strange since it should be an easy problem) and therefore I will appreciate you help: My simple script is: # Loadings data of 5 columns and 100 rows of data data1<-read.csv("C:/?/MyPCA.csv") pairs(data1[,1:4]) pca1 <- princomp(data1[,1:4], score=TRUE, cor=TRUE) biplot(pca1) The biplot present the data
2010 Oct 27
3
ggplot - unwanted sorted X values
Hi, I have this script: dat <- data.frame(X = halistat$Date,Y1 = halistat$avg,Y2 = halistat$stdev) ggplot(data = dat, aes(x = X, y = Y1, ymin = Y1 - Y2, ymax = Y1 + Y2)) + geom_point() + # points at the means geom_line() + # if you want lines between pints geom_errorbar() # error bars, Y1 - Y2 and Y1 + Y2 halistat$Date values: 29/1/10 21/2/10 30/3/10 30/4/10 30/5/10 In the resulted
2011 Aug 20
2
a Question regarding glm for linear regression
Hello All, I have a question about glm in R. I would like to fit a model with glm function, I have a vector y (size n) which is my response variable and I have matrix X which is by size (n*f) where f is the number of features or columns. I have about 80 features, and when I fit a model using the following formula,? glmfit = glm(y ~ x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 + x12 + x13
2009 May 26
4
moving from Windows to Linux - need help
hi I've used R for many years on windows machines, but have now acquired an Asus eee 1000 linux machine. In order to get the best out of the machine, I used the 'pimpmyeee.sh' script, to get the full KDE desktop. The version of Linux is Xandros, which I believe is a close relative of Debian, but sadly I have only a nodding acquaintance with Linux at present. Naturally I want to
2010 Jun 16
4
an alternative to R for nonlinear stat models
Hi I implemented the age-structure model in Gove et al (2002) in R, which is a nonlinear statistical model. However running the model in R was very slow. So Dave Fournier suggested to use the AD Model Builder Software package and helped me implement the model there. ADMB was incredibly fast in running the model: While running the model in R took 5-10 minutes, depending on the
2010 Aug 11
1
Matrix Plot and linear regression
Hi, Is it possible to do a Matrix Plot and in the cell perform a linear regression also adding to the cell the r2 and the equation. If so, how? Thanks, As hz -- View this message in context: http://r.789695.n4.nabble.com/Matrix-Plot-and-linear-regression-tp2321613p2321613.html Sent from the R help mailing list archive at Nabble.com.
2010 Jun 25
1
Confused: Looping in dataframes
Hey, I have a data frame x which consists of say 10 vectors. I essentially want to find out the best fit exponential smoothing for each of the vectors. The problem while I'm getting results when i say > lapply(x,ets) I am getting an error when I say >> myprint function(x) { for(i in 1:length(x)) { ets(x[i],model="AZZ",opt.crit=c("amse")) } } The error message is