similar to: google map

I have a dataset showing points, with a category for each point and its location. I simply want to display my points, in a way that users can toggle the points on and off by category. Where I have two objects in the same category I'd like to display them nudged to appear as two distinct, but very close points. I have made reproduceable example (the places are not real), which is loosely

Hello everybody, I''m working with Version 3 of Google Maps JavaScript API, and I have the next code: In a layout of my application: <script type="text/javascript" src="http://ajax.googleapis.com/ajax/ libs/jquery/1.4.1/jquery.min.js"></script> <script type="text/javascript" src="http://maps.google.com/maps/api/js?

Hey there all. I have a mapping app that uses ym4r_gm to build with google maps. The markers i generate use the status of a machine to determine their color. This way our customers can pull up the map and see a color coded drawing where their machine is. So, how would i go about making this to where it could update each marker every 10 minutes or so. I would like to allow our customers to leave

Hello All: Using the below dataset how can I make a barplot with Date(X) and NumEggs(Y) by Site. Then plot Temp(lineplot) It seems really simple, but I am having a hard time trying to do it by Site. Thanks Date NumEggs Site Temp 1 2008-04-22 0 Massacre Flat (RK424.5) 51.20 2 2008-04-23 0 Massacre Flat (RK424.5) 50.80 3 2008-04-24

CAON Releases Fact Sheet For Investors Chan-On International Inc. Symbol: CAON Close: $0.72 UP 4.35% Read this over the weekend, you won't be sorry. CAON has changed direction and investors love it. Friday's volume went through the roof. Big news expected Monday. Set your marker for CAON first thing Monday! Number of generators needed? On two computers the program was slowed down and

Dear List, I am trying to run a mixed model which, on the R console, prints output as follows: [1] "Marker" [1] "perm no." [1] NA Linear mixed model fit by REML Formula: peg.no.prm ~ 1 + (1 | family/f) Data: modeldf AIC BIC logLik deviance REMLdev 3119 3134 -1555 3112 3111 Random effects: Groups Name Variance Std.Dev. f:family (Intercept) 0.0

Hello All, I have a data with two columns. In one column it is date and in another column it is flow data. I was able to read the data as date and flow data. I used the following code: creek <- read.csv("creek.csv") library(ggplot2) creek[1:10,] colnames(creek) <- c("date","flow") creek$date <- as.Date(creek$date, "%m/%d/%Y") The link to my data

Dear all, Does anyone have any suggestions on how to block multiple columns of data one at a time in the midst of an analysis, having specified the blocking variable? I am running a random effects model using lmer, and my data set has multiple columns. Individuals in the study are grouped into 60 families- which is the blocking factor. The random effects are markers (labeled Pxlyy below)

note: whole function is below- I am sure I am doing something silly. when I use it like USGS(input="precipitation") it is choking on the precip.1 <- subset(DF, precipitation!="NA") b <- ddply(precip.1$precipitation, .(precip.1$gauge_name), cumsum) DF.precip <- precip.1 DF.precip$precipitation <- b$.data part, but runs fine outside of the function: days=7

Is there a command for partial matching of character strings? Specifically, I'd like to be able to calculate the mean of the values in any columns in a data frame or matrix that have identity in part of their column names. For example, columns labeled "mpw06a" and "mpw06b" match on the first five characters; their mean would be taken whereas any columns beginning with

R users: I'd like to get some insight on an error I encounter when attempting to work with two moderately sized sets of time series data. FYI - I'm using the following versions of R and supporting packages on a Windows 2000 OS: - R version 2.4.1 (2006-12-18) - zoo version 1.2-2 - chron version 2.3-10 The two time series I'm working with are from the summer of 2004 and are: 1.)

Hello the lists, Please feel free to ignore this message if you are not in Cambridge. As previously mentioned, we are hosting an afternoon LLVM workshop in the Computer Lab on Monday (15th). We'll start in the morning with a tutorial and then have 15-minute talks with 5 minutes for questions and speaker changeover in the afternoon. The event is open to all and will be in room FW11 of the

I am aware of the inherent risks of having plots with more than two axes, but I am trying to produce the graphs that I have been tasked with. That being said I am having a hard time figuring out how to have two axes onto a boxplot. below is the sample code. I would like BC on the plot produced with this code to be on a second axis with all of the others being on the first axis. This will be

R experts, I am working with a fairly large data set comprised of 563 rows by 116 columns including several different modes. I have been unable to read in the data set completely using the read.table function and the RGui (i.e. nearly half the total number of rows are missing from the data set along with the column names). The data does read in fully using Tinn-R's Rterm; however, at several

R users, Hello, I used sqlFetch to import a data table from MS Access 2007 and I set as.is = TRUE to prevent character vectors from becoming factors. However, I can't figure out how to prevent the $ operator from being added by sqlFetch to the end of each character vector(e.g. TD$ and SITE$). This causes subsequent parts of my code not to work and also results in some behavior that I

Look at the bottom of the message for my question #here is a little function that I wrote USGS <- function(input="discharge", days=7){ library(chron) library(gsubfn) #021973269 is the Waynesboro Gauge on the Savannah River Proper (SRS) #02102908 is the Flat Creek Gauge (ftbrfcms) #02133500 is the Drowning Creek (ftbrbmcm) #02341800 is the Upatoi Creek Near Columbus (ftbn) #02342500 is

Dear R users,   I am new user for elastic net. I am trying to use elasticnet library. I have marker data with 359 markers and 168 samples, and response is metabolites. I am trying to do regression between a metabolite and markers.  But i am getting the following error:   > en<-enet(marker,as.numeric(vio),lambda=0.5,normalize=FALSE,intercept=TRUE) Error in one %*% x : requires numeric

Lo there all, i have a function that builds a bunch of markers to go on a google map. I would like to update them with rjs. Here is what i have so far. def map_main_layout @zoom = params[:zoom].to_i @zoom = 14 if params[:zoom].nil? @map = GMap.new("map_div") # @map.control_init(:large_map => true, :map_type => true) # (inserts map control) # place

Dear R-Helpers, I am not very experienced in using lattice and I am still in the learning stage I have a data set which looks like this: (I have deleted a few lines in order to save space) Chromosome marker Marker.Name Distance 1 1 1 PeMm261 0.0000 2 1 2 Xtxp8 10.1013 .. 20 1 20 EbMi148 210.3099 21 1 21 Xtxp25

Dear Mark and the R list, I apologise greatly for not having thanked you earlier for your help with my last mail, which involved trying to sort out variance components using two methods: a direct looped lmer, and a two-step analysis involving regressions of AFLP markers on lmer residuals for the same result (or so I hoped). I was in India for ten days and no CRAN mirror in the vicinity made