similar to: Questions related to plotting boxplots of time series data

I'm interested in creating a graphic -like- this: c <- ggplot(mtcars, aes(qsec, wt)) c + geom_point() + stat_smooth(fill="blue", colour="darkblue", size=2, alpha = 0.2) but I need to show 2 sets of bands (with different shading) using 5%, 25%, 75%, 95% limits that I specify and where the heavy blue line is the median. I don't understand how to do this with

I have a problem where I need to label the vertical axes of a Boxplot with related, but different quantities (flow & height), which have a known relationship. Primarily I want to plot the variable as a flow on the left axis and on the opposing right axis, show the corresponding height. Is it possible to get the flow range (max & min) of the left axis and then supply the right axis

Please, I am receiving lot of e-mails that I do not want. Please could you delete my e-mail. Thank, Judit -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Thomas Adams Sent: Monday, December 12, 2011 3:22 PM To: Bert Gunter Cc: r-help at r-project.org Subject: Re: [R] Boxplot of multiple vectors with different lengths Bert,

Hello to all users and wizards. I am regulary using 'boxplot' function or its analogue - 'bwplot' from the 'lattice' library. But they are, as far as I understand, totally flawed in functionality: they miss ability to select what they would draw 'in the middle' - median, mean. What the box means - standard error, 90% or something else. What the whiskers mean -

The standard R boxplot appears to use quartiles to determine the height of the rectangles and a range parameter - RNG - (default=1.5 I think) that determines the length of the whiskers as <= RNG x Interquartile Range. Is it possible to instead define the range as extending to the 95th percentile? If so, how would this be done? nb, I'm plotting multiple boxplots on a single chart so a

Hi All- I have 24 boxplots on one graph. I do not have the whiskers extending to the outliers, but I would like to label the maximum value of each outlier above the whiskers. I have the stats but am having trouble figuring out how to label the whiskers. Any suggestions would be great! sherri

Hello, I know this has been covered on here before, but as a complete novice, I need a little more guidance. I would like to produce boxplots with the whiskers extending to the 10 and 90th percentiles. I found this code: myboxplot.stats <- function (x, coef = NULL, do.conf = TRUE, do.out = TRUE) { nna <- !is.na(x) n <- sum(nna) stats <- quantile(x, c(.1,.25,.5,.75,.9), na.rm

How to calculate the boxplots R? This question arises because we are building manually boxplots, we consulted various literature sources for calculations of the boxplot but our results differ from those generated by R, especially when calculating the whiskers. What is the procedure used by R to perform these calculations? Anyone can help us please? -- View this message in context:

I am generating a single graphic containing about 31 Boxplots; the issue I am having is that not all the labels (3 characters each) are shown. Interactively, within a R session, I can simply re-size the graphics window and all the labels appear. But, what can I do non-interactively to have all the labels displayed when using Sweave? Can the labels be rotated 90-degrees; would this help? I

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 have read and reread the boxplot and the boxplot stats page, and I still cannot understand how and what boxplot shows. I realize that this might be due to me not knowing enough statistics, but anyway... First, how does boxplot determine the size of the box? And is the line inside the box the mean or the median (or something completely different?) And how does it determine how long out the

Hi all, I have 6 datasets(dataframes Assem_ContigsLen7 through all_ContigsLen12) containing 3 columns (contig_id, contig_length, read_count). Each dataset is composed of 3 types of contigs (assemblies of genomic fragments), 1- all Bacterial fragments, 2 - all Viral fragments, 3 - mixed fragments. I identified the type of contig through a merge with another table with just contig_id and

I am using R 2.5 on a Linux Redhat platform. I can successfully run some example *.Rnw files through Sweave and generate pdf files. When I try my own example file, "test.Rnw": \documentclass[a4paper]{article} \title{Test Sweave Example} \author{Thomas Adams} \begin{document} \maketitle In this example we embed parts of the examples from the \texttt{boxplot} and \texttt{lattice}

All: I am using the command: qplot(date,MAE,data=data,facets=INTERVAL~type) which works fine except that the dates for my date axes are crunched together so much that they are unreadable. I can not find an option that I can set that will automatically reduce the x-axis labels to fit the available space. regards to all? -- Thomas E Adams National Weather Service Ohio River Forecast Center

Hello, I'm attempting to write a code that automatically imports data from different files (with different lengths-just one variable) and makes tidy box plots for comparison. I can successfully import the data and create a list of the vectors I want to compare. But I cannot, for the life of me, figure out how to generate box plots using the "list" option. Suppose these are my data:

Hi List, Just wondering where the documentation exists for the statistics which makeup the bwplot. I'm guessing that if R is like similar products that the graph is constructed as The median is the filled circle. The box surrounding the filled circle depicts the 25th and 75th quartile. The range of values is given by the dotted lines (?whiskers?) outside of each box, and possible

I have data that I read in using: data<-read.table("RAVK2.obs.data",sep="\t") 'data' looks like this: V1 V2 1 2009-03-25 06:00:00 12.86 2 2009-03-25 12:00:00 12.80 3 2009-03-25 18:00:00 12.76 4 2009-03-26 00:00:00 12.68 5 2009-03-26 06:00:00 12.66 6 2009-03-26 12:00:00 12.64 7 2009-03-26 18:00:00 12.83 8 2009-03-27 00:00:00 13.33 9

Hello, I have a couple more questions about boxplots. In the books I've read on statistics (I'm not a statistics expert but just a poor engineer trying to help his wife with the analysis of the data she gathered for her medieval history PhD), I seen two kinds of box plots: one using quartiles to determine the height of the rectangles and whiskers which is what the standard R boxplot does,

Another naive stats question. I'm trying to better understand what boxplots are telling me. I think what I see is the median and the boundaries of the 1st and 3rd quartiles. The whiskers represent the range of the data unless there are points which are outside "range" (default: 1.5) times the distance from the median to that quartile. Is that right? I've read the

I have a data frame containing columns which are factors. I use this to make boxplots for the data, with one box per factor. I would now like to get at the data in the data frame which corresponds to the outliers. I have so far found the $out, which gives "the values of any data points which lie beyond the extremes of the whiskers", but I haven't found anything which will let me get