similar to: Time Series methods

Dear list members I want to analyze separately the months of a time series. In other words, I want to plot and fit models for each month separately. Taking the example of http://a-little-book-of-r-for-time-series.readthedocs.org/en/latest/src/timeseries.html births <- scan("http://robjhyndman.com/tsdldata/data/nybirths.dat") birthstimeseries <- ts(births, frequency=12,

Hi all, I'm new to R, and have the following problem: I wish to draw a boxplot of simple data in two columns. The x-axis (taken from first column) is grouped to intervals (using 'cut'). These intervals serve as x-value to the boxplot, and the data from the second column are the y-values. The problem is that I want to give an impression of the trend of the data in the x-range.

hi i have a dataframe with the name "obsdata" V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 1 1001 3 24 12 24.7 44.4 70.1 49.3 33.7 3.0 6.8 2.7 NA 2 1001 3 25 0 70.1 49.3 33.7 138.2 152.5 NA 4.2 6.9 17.5 3 1001 3 25 12 33.7 187.7 286.5 386.7 NA 16.2 46.0 48.8 43.1 4 1001 3 26 0 88.6 129.4 NA NA

Dear R list members I am trying to improve a boxplot with 2 data sets. I run somethinkg like boxplot(data1 ~ month, add=F, col = "red", ...) boxplot(data2 ~ month, add=T, col = "blue", ...) The problem is that the data from February are missing for data2, so R think that must take little more space between the data classes in data 2 and then both data gropus are not aligned.

Hi all, I'm trying to plot my daily time series, with 3650 observations( 10 years), with boxplot but I want 12 boxes, one for each month, can anyone help me doing that. Best regards

I'd like to perform some calculations across a series of columns. Is there an easy way to do so? For example, I'd like to calculate the maximum value from columns 6-42. Although I can use, say: pmax(data[,6],data[,7],data[,8], etc.), I'd prefer to be able to do something like pmax(data[,6:42]). Unfortunately, doing so returns 36 columns. Thanks, Tim -- View this message in

Hi, ggplot/qplot is great - it has really helped me do some nice things. However, simple boxplot of different columns/variables is a bit tricky, because of (i think) qplot's generic Y conditional on X input form. Se below. # Some data: a <- rnorm(100) b <- rnorm(100,1,2) c <- rnorm(100,2,0.5) # normal boxplot of a,b,c boxplot(a,b,c) # Looks good library(ggplot2) # loads qqplot2 #

Ultimately my aim is to get a plot of density faceted by 2 factors with a horizontal boxplot overlaid on each density plot in the grid to indicate summary stats. So I've been experimenting with creating boxplots and density plots. Here's some representative data. series = c('C2','C4','C8','C10','C15','C20') ids =

Hello people, A while back I wanted to plot boxplots with interactions that will have a dot for the mean of the sample + bars for the SE. After searching for some code, I found something that did it for one level, but couldn't find something that will allow for interactions the way the original boxplot does. After playing with the original code, I found a way for allowing the boxplot code to

Dear List, I just googled to find out if notched box plots are possible with ggplot2, but couldn't find a answer to it. boxplot() has the option: notch = TRUE, e.g.: boxplot(mpg$hwy, notch=TRUE) My example code (taken from the net) is: require(ggplot2) qplot(class, hwy, fill=factor(year), data=mpg, geom="boxplot", position="dodge")+theme_bw() Thank you for you help!

Hi All, I am a PhD student in forestry science and I am working with LiDAR data set (huge data set). I am a brand-new in R and geostatistic (SORRY, my background it?s in forestry) but I wish improve my skill for improve myself. I wish to develop a methodology to processing a large data-set of points (typical in LiDAR) but there is a problem with memory. I had created a subsample data-base but

Can anybody help me on how to boxplot multiple groups with different color? Say, I have 3 groups of data, each group with 2 boxes, and I'd like to have the following layout in the boxplot: red, red, green, green, blue, blue thanks in advance. -- View this message in context: http://www.nabble.com/multiple-groups-with-different-colors-in-boxplot-tp25867267p25867267.html Sent from the R help

Dear list members, Can anyone tell me how the notches in boxplot(Y~X,notch=T) are calculated? What do these notches represent exactly? I?d suppose they are Conficence Intervals for the median, but I?ve also been told they might show Least Significant Difference (LSD) equivalents. I would very much appreciate any help from you. Best regards Chris.

List, I have looked through several R books and searched the web to find answers to my questions with no results. I have a ensembles of time series data (essentially from Monte Carlo simulations) which I would like to summarize as a time series of boxplots. I don't know how to do this and I am not sure how I should structure the data to get what I want. Another related question: while

Dear R-Help readers, I suspect that this question must be a FAQ, but my investigation of the archives has not been very revealing. Is there an R function for calculating moving averages of time series objects? Thank you for your time and patience. -Paul Paul Schwarz, Ph.D. Associate Director of Methodology Gartner Vendor Marketing Solutions, Custom Research +1 503 241 8036 x186

Hi, I'm new to the whole R-thing as a replacement for Matlab, not disappointed sofar ;) I found out how to make nice looking boxplots, but i also would like the make a boxplot with 5% and 95% instead of the standard 25 and 75% quantiles. My csv input looks something like: LOCATION FILTER NR DATE VALUE MONTH Peelhorst01 1 14-Jan-94 23.07 1 Peelhorst01 1 28-Jan-94 23.68 1 Peelhorst01 1

I am using R 2.2.1 on a Windows 2000 PC. When I do a grid() after the boxplot it overprints the boxplot: > boxplot(count ~ spray, data = InsectSprays, col = "lightgray") > grid(nx=NA, ny=NULL) > if I try the panel.first > boxplot(count ~ spray, data = InsectSprays, col = "lightgray", + panel.first=grid(nx=NA, ny=NULL)) > I can see the grid flash

Hello all, I wrote a small function to add labels for outliers in a boxplot. This function will only work on a simple boxplot/formula command (e.g: something like boxplot(y~x)). Code + example follows in this e-mail. I'd be happy for any suggestions on how to improve this code, for example: - Handle boxplot.matrix (which shouldn't be too hard to do) - Handle cases of complex

I'm trying to make a monthly boxplot using this: boxplot(varmeasure ~ vardates) vardates = [1] 10/1/2010 10/1/2010 10/1/2010 10/1/2010 10/1/2010 10/1/2010 10/1/2010 [8] 10/1/2010 10/1/2010 11/1/2010 11/1/2010 11/1/2010 11/1/2010 11/1/2010 .... varmeasure = [1] 0.0 26.0 0.2 -0.2 -1.2 -0.8 0.0 4.4 -0.6 -0.2 14.4 -0.2 [13] 4.8 4.0 2.8 3.2 3.8 3.2 -11.4 0.2 0.4

Hi all, I'm just getting started with R and I would appreciate some help. I'm having trouble creating a boxplot with whiskers at the 95th and 5th percentiles instead of at 1.5 * IQR. I have read the relevant documentation, and checked existing mails on this topic. I found a small modification that should work : https://stat.ethz.ch/pipermail/r-help/2001-November/016817.html and tried to