similar to: Print lattice output to table?

Using the input below, can I do something more elegant (and more efficient) than the loop also listed below to pad strings to a width of 5? The true matrix is about 300K rows and 31 columns. ####################### #INPUT ####################### > temp DX1 DX2 DX3 1 13761 8125 49178 2 63371 v75 22237 3 51745 77703 93500 4 64081 32826 v72 5 78477 43828 87645 >

Passing in two dates to a sql statement (sqldf). Is returning a factor. Tried setting back to a Date via as.Date, but get an error the error: character string is not in a standard unambiguous format. Any thoughts appreciated. Code/Results listed below: > summary(df.possible.combos) Date Hour Min. :2011-03-01 Min. : 0.00 1st Qu.:2011-03-23 1st Qu.: 5.75

I'm guessing there's a more efficient way to do the following using the index features of R. Appreciate any thoughts.... for (i in 1:nrow(dbs1)){ if(dbs1$Payor[i] %in% Payor.Group.Medicaid) dbs1$Payor.Group[i] = "Medicaid" if(dbs1$Payor[i] %in% Payor.Group.Medicare) dbs1$Payor.Group[i] = "Medicare" if(dbs1$Payor[i] %in% Payor.Group.Commercial)

Have a long script that runs fine on windows (32 bit). When I try to run in on two different macs (64 bit), however, it hangs with identical behavior. I start with: library(sqldf) This results in messages: Loading required package: DBI Loading required package: RSQLite Loading required package: RSQLite.extfuns Loading required package: gsubfn Loading required package: proto Loading required

Know that if I have List_1 and List_2 that I can check to see if the intersect via the code below: List _1: a, b, c, d, e, f, g List_2: z, y, x, w, v, u, b length(intersect(List_1, List_2)) > 0 return = true If instead I wanted to check a dataframe that is a "list of lists," how would I do that by record without looping? List _1: a, b, c, d, e, f, g List_2: z, y, x, w, v,

I am using the code below to extract census tract information. save.tract$state, save.tract$county and save.tract$tract are returned as factors. In the last three statements, I need to save the actual value of the factor, but, instead, the code is yielding the position of the factor. How do I instead return the value of the factor? By way of example, for Lon=-82.49574 and Lat=29.71495, the code

trying to structure sql to merge two datasets. structure follows: dbs.possible.combos (all possible combinations of dates and places) Date Place 1/1/10 N-01 1/1/10 S-02 1/2/10 N-01 1/2/10 S-02 etc... dbs.aggregate (the raw data aggregated by date and location) Date Place Days 1/1/10 N-01 6 1/1/10 S-02 10 1/2/10 S-02 5 Trying to merge so I look-up the values for each possible combo dbs.final

If I have a column with 2 levels, but one level has no remaining observations. Can I remove the level? Had intended to do it as listed below, but soon realized that even though there are no observations, the level is still there. For instance summary(dbs3.train.sans.influential.obs$HAC) yields 0 ,1 4685,0 nlevels(dbs3.train.sans.influential.obs$HAC) yields [1] 2 drop.list <- NULL

Hi, Dear R-users: Sorry for bothering your guys again. I think I should rewrite my question. I know how to extend whisker by using range. The question is that I will set the range=1.5, and at the same time, I only want to show the extreme outlier, like 0.01% and 99.99% percentile, so what should I do? Thank you very much! Catherine -- View this message in context:

Dear List, I'd like to make boxplots of a large number of observations (+/- 20.000), which are distributed log-normal and right skewed. The problem is that with standard boxplots a too large number of observations are displayed as outliers. I also tried to display the log of the observations, but even then there are to may outliers to my taste. So I'd like to change the standard IQR box

Hi, Dear R-users, I have a problem when I drawing a boxplot. I want to extend the whisker to the 5% and the 95% quantiles and only show the most extreme outlier, like 0.01% and 99.99% percentiles. What should I do? I saw something on boxplot.stat, but even I define the parameter in boxplot.stat, what I should do next? how to connect it to boxplot? Thank you very much! Catherine -- View

Hi everybody, I'm trying to modify the boxplot just to set the upper whisker to the 90 percentile value, but I still couldn't find the solution. Can anyone help me? Thanks Alessandro Carletti

How do I calculate the 95th percentile when I know the 25th, the median and the 75th?? Thanks, Harmony Tenney [[alternative HTML version deleted]]

I have data that looks like lake,loglength,logweight 1,2.369215857,1.929418926 1,2.426511261,2.230448921 1,2.434568904,2.298853076 1,2.437750563,2.298853076 1,2.442479769,2.230448921 1,2.445604203,2.356025857 ... 102,2.722633923,3.310268367 102,2.781755375,3.502153893 102,2.836324116,3.683407299 102,2.802773725,3.583312152 102,2.790285164,3.546419267 102,2.806179974,3.599118565

There appear to be reports in the literature that transform continuous independent variablea by the use of splines, e.g., assume the dependent variable is hot dogs eaten per week (HD) and the independent variable is waistline (WL), a normal linear regression model would be: nonconfusing_regression <- lm(HD ~ WL) One might use a spline, confusion_inducing_regression_with_spline <- lm(HD

Good Afternoon- I was wanting to alter the boxplot to remove the lower whisker, both the whisker line and staple just on the lower end. Is there a way to do this? As my code is currently: boxplot(log_loads~ind,data=nfmaum, horizontal=TRUE, notch=T, outline=FALSE, whisker=0, main="Maumee River Near Future Climate Scenarios", ylab="Log Load",xlab="Climate Scenarios")

I have a dataset of about 10^6 rows, each consisting of a timestamp, several factors, a string, some integers, and some floats. I'd like to graph this data in various ways, including straightforward ones (how many events per week over the past year for each of 4 values of some factor), some less straightforward. I've managed to do this by brute force, but I'd like to learn how to do

Hello: I am plotting some data using the box and whisker plot. However, I only want to plot the median, max and min, as I only have these values and not the quartile values. It seems R arbitrarily constructs the box margins to be halfway between the median and the max/min. How do I make the box and whisker plots without the box values? Thanks, Michael [[alternative HTML version

I have 2 datafiles 'target' and 'observed' as shown below (I will gladly email these 2 small files to whomever). X25. And X75. Indicate the value of 25th and 75th-percentile of the target ('what should be') and the observed ('what is'). The i.value is simply the month. > target X i.value X25. X75. 1 one.month 1 10.845225 17.87237 2

Dear r-help, Unfortunately I cannot find in the documentation what determines ranges of a 'box' in the box-and-whisker plot. It is said in "Simple R" (http://www.math.csi.cuny.edu/Statistics/R/simpleR) that they are 1st and 3rd Qus usually. I tried to add to boxplot lines with (quantile(x,probs=0.25)), but lines do not coincide with edges of boxes.