similar to: Labeling barplot bars by multiple factors

I would like to make bar plots where the bars are composed of text like this: http://www.thomaslevine.com/lowres/text_bars.png Is there a package that will help me with this? Thanks Tom

I am analysing occurrences of a phenomenon by time, and each of these timestamps taken from email headers represents one occurrence. (The last number is the time zone.) I can easily change the format. Sun, 14 Jun 2009 07:33:00 -0700 Sun, 14 Jun 2009 08:35:10 -0700 Sun, 14 Jun 2009 21:26:34 -0700 Mon, 15 Jun 2009 19:47:47 -0700 Wed, 17 Jun 2009 21:50:41 -0700 I've found documentation for a

# Hi, # This plot has two colors. overflow <- read.csv('http://chainsaw.thomaslevine.com/overflow.csv', stringsAsFactors = F) png('original.png') stripchart(overflow$precipi ~ overflow$after.9.am, method='stack', pch = 22, bg = overflow$overflow + 1, vertical = T, col = 0) dev.off() # I wanted continuous bands of color, so I sorted the data frame. # But after

Ilio Fornasero writes: > Yet, I am at this point. > > > > > ## 01. Finding the dataverse server and making a search > Sys.setenv("DATAVERSE_SERVER" =3D "dataverse.harvard.edu") > dataverse_search(".Hunger") > > > ## 02. Loading the dataset (in this example, I have chosen the word ".Hunge= > r" to get > # one list and

I submit a couple options for addressing bug 16719: kruskal.test documentation for formula. https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=16719 disallow-character.diff changes the documentation and error message to indicate that factors are accepted. allow-character.diff changes the kruskal.test functions to convert character vectors to factors; documentation is updated accordingly. I

Hi All, I'm looking for ways to compute aggregate statistics (with the aggregate function) but with an option for sorting and selecting a subset of the data frame. For example, I have would like to turn this : aggregate(myDataframe$TargetValue,list(SomeFactor = myDataframe$SomeFactor),mean) into something like aggregate(myDataframe$TargetValue,list(SomeFactor =

Dear list, just to put it in a simple way: i read.csv from csv file to create a gdata then, create array gdata34 however, when making a loop for assigning gdata34[1,m]<-gdata[m,4], this is what happen gdata[1,4] 's real value is 10354, however, the gdata34[1,4] turns to be 883 then i checked the type: gdata[1,4] is integer, while gdata34[1,4] is double. Can any one give me some help

I have a column in a data frame that has a class of "Date" and a mode of "numeric". When I: max(df$Date) My output stays in Date format, i.e. "2006-01-03". However, when I run the following statment: tapply(df$Date, df$SomeFactor, max) my output looks like this: 9129 9493 9861 10226 10591 10956 11320 11687 12052 12417 The returned object is of

Hi all, I'm announcing this version of plotrix because I have made a couple of changes that will affect users. Although the function that used to be known as hierobarp is fairly new, there may be some users who are surprised when they find that it has changed its name to barNest. I will probably rename the two functions hierobarp.svymean and hierobarp.svyprop in the next version to

Hi everybody. I'm looking for the way to increase the depth value in 0.01 for each index group. Easier to explain with this example: >my_data=read.table("clipboard", header=TRUE) Depth s_name index 3852 Site_1 144 3852 Site_1 144 3852 Site_1 144 3852 site_A 145 3852 site_A 145 3852 site_A 145 3852 site_A 145 3852 site_B 147 3852 site_B 147 3852 site_B 147 3852 site_B 147 54962

Hello List! I stumbled across an efficiency problem - calculation that would be probably done very fast as a matrix operation I must perform as a for-loop. My intention was to do a conditional operation in matrix depending on the information in first column (summing as many data points from vector my_data as the number specified in the first column of the matrix) but the result is that the

Dear users, I'm trying to learn how to use the "...". I have written a function (simplified here) that uses doBy::summaryBy(): # 'dat' is a data.frame from which the aggregation is computed # 'vec_cat' is a integer vector defining which columns of the data.frame should be use on the right side of the formula # 'stat_fun' is the function that will be run to

Hello, I'd appreciate a suggestion on how to construct plots (barplots?) that use means on the Y axis instead of density/count. I'd also like to use groups and plot error or confidence interval bars on these graphs. I know this is a read the manual situation. I'd appreciate help with what to read, or your benevolence with some sample code. I've looked at lattice and gplots2, but

On 18/06/17 12:10, lily li wrote: > Hi R users, > > I have a question about adding uncertainty bars to stacked bar plots. > > DF: > year A B C Amin Amax Bmin Bmax Cmin Cmax > 2009 40 45 15 30 61 23 56 14 17 > 2010 36 41 23 26 54 22 51 22 24 > > I use the code below: > >

Hi everyone, I am using the lattice package to plot some simulation results, by using the function xyplot(). However, I cannot find a way to plot multiple lines within the same xyplot and to have each of the lines be drawn in a different color. This is what I am currently doing: xyplot(a + b + c ~ x, my_data, panel = panel.lines) but, of course, all lines are drawn in the same color. What

Hello! I am trying to figure out how to implement *logical deletes* instead of physical deletes using ActiveRecord. Basically, in many applications that deal with E-Commerce, you really can''t physically delete almost anything, because records must be kept for auditing and customer service tracking purposes. In the past, I''ve implemented logical deletes as follows: 1.

Dear all; I need to run heatmap. Because my first column in my data is alphanumeric, I can not run as.matrix(scale(my_data)). So I need to make my data readable as in data(mtcars). In *mtcars *data the first column is alphanumeric and has no name. Thanks, Greg [[alternative HTML version deleted]]

Dear useRs, I can't seem to find out how to categorize my histogram. I have the following dataset: Time??????????? First.day? Second.day 08:00-10:00??????? 9?????????? ? 8 10:00-12:00?????? 13???????? ? 15 12:00-14:00??????? 9?????????? ? 9 14:00-16:00???????10????????? ? 9 I attached a jpeg file to this e-mail containing the sketches. What I'd like to do is a barplot (or histogram),

Hi R users, I have a question about adding uncertainty bars to stacked bar plots. DF: year A B C Amin Amax Bmin Bmax Cmin Cmax 2009 40 45 15 30 61 23 56 14 17 2010 36 41 23 26 54 22 51 22 24 I use the code below: DF.refm = melt(subset(DF[,c(1:4)]),id.vars='year',variable_name='Legend') fig1 =

I have some data which is censored and I want to determine the median. Its actually cost data for a cohort of patients, many of whom are still on treatment and so are censored. I can do the same sort of analysis for a survival curve and get the median survival... ...but can I just use the survival curve functions to plot an X axis that is $ rather than date? If not is there some other way to