similar to: Download problems

Dear R wizards, I am seeking advice on graphics in R. Specifically, how to manipulate the size and save a plot I have produced using the LDheatmap library. I confess I am relatively new to graphics in R, but I would greatly appreciate any suggestions you may have. LDheatmap produces a coloured triangular matrix of pairwise associations between 600 genetic markers in my dataset.

You are right that there are no NAs in the practice data. But there are NAs in the moving average data. To see this, break your work into two separate steps, like this: tnr.ma <- ma(dat3[1:28], order=3) TNR_moving_average <- forecast(tnr.ma, h=8) I think you will find that the warning comes from the second step. Print tnr.ma and you will see some NAs. -Don -- Don MacQueen Lawrence

Hello R-Help, is there any way of using the RODBC Package on a Mac OS X System? If yes, what do I need to get it running. Concerning these issues, I am pretty unexperienced, so please state any step necessary. The actual problem is accessing data in Excel- files. (unfortunately no alternative way of entering the data). I already installed the Package, but it says the following: > versuch

Is there a package or a command that does window aggregation like select sum(col1) over (partition by col2, col3 order by col4 rows between unbounded preceding and current row) as sum1 from table1 ; the above is Netezza syntax, but Postgre has same capability. Stephen B [[alternative HTML version deleted]]

Some years ago, if I recall correctly, I learned of a package that included a function that would write a plot to a file so that one could associate hyperlinks with elements of the plot, such as points. Then, when the plot was displayed in a browser, one could click on (for example) a point, and jump to wherever the hypelink pointed. I don't remember then name of the package or function,

Hi I have a vector like that readCsvFile$V1  [1]  30  31  32  33  34  35  36  37  38  39 310 311 312 313 314 315 316 317 318 [20] 319 320 321  20  21  22  23  24  25  26  27  28  29 210 211 212 213 214 215 [39] 216 217 218 219 220 221 222 223  40  41  42  43  44  45  46  47  48  49 410 [58] 411 412 413 414 415 416 417 418 419 420 421 and I am looking to find where the number 31 is located. So I

Hi Don, wow, you are so right. I picked that piece up from the bloggers tutorial and since I am R naive yet, I thought it was all one step moving_average = forecast(ma(tdat[1:31], order=2), h=5) Truly, I usually print and check at every step I can, as painful as it is sometimes. Great lesson for this novice usR. So the first and last values are NA in each case? Do you know why? Should I replace

My guess would be that if you inspect the output from ma(dat3[1:28], order=3) you will find some NAs in it. And then forecast() doesn't like NAs. But I can't check, because I can't find the ma() and forecast() functions. I assume they come from some package you installed; it would be helpful to say which package. -Don -- Don MacQueen Lawrence Livermore National Laboratory 7000

Hi, Do you know whether it is possible to use wildcards in download.file()? For example: url = "ftp://abc.com/*.*" # to download all the files in the ftp folder download.file(url,destfile=...) # does not work, any solutions? Thanks! JIng

Hello Don, thank you for your response. I appreciate your help. I am using the forecast package, originally I found it following a forecasting example on bloggers.com https://www.r-bloggers.com/time-series-analysis-using-r-forecast-package/ And subsequently located the complete pdf https://cran.r-project.org/web/packages/forecast/forecast.pdf Since I created this practice data using the

Does R have a comparison operator similar to the Like function, for example: a<-"Is a Fish" b<-"Fish" if(b in a){c<-TRUE} Michael R Howard Micron Technology Inc. Boise ID. Fab C Engineering Software (FCES) Software Engineer

Luca, If speed is important, you might improve performance by making d0 into a true matrix, rather than a data frame (assuming d0 is indeed a data frame at this point). Although data frames may look like matrices, they aren?t, and they have some overhead that matrices don?t. I don?t think you would be able to use the [[nm]] syntax with a matrix, but [ , nm] should work, provided the matrix has

I have found that order() fails in a rather arcane circumstance, as in this example: > foo <- I( c('x','\265g') ) > order(foo) Error in if (xi > xj) 1L else -1L : missing value where TRUE/FALSE needed > foo <-c('x','\265g') > order(foo) [1] 1 2 > sessionInfo() R version 3.1.1 (2014-07-10) Platform: x86_64-apple-darwin13.1.0 (64-bit)

Hi R users, I have some data points (Xi, Yi), and they may follow such a pattern Yi = cCOS(Xi) + d, how to find the c and d in R? which function to use? Also, how to get the R2 and p value for this correlation? Thanks for any kind of help. [[alternative HTML version deleted]]

Hi, I use a vector of data to draw the histogram, but it is different from the graph by SAS. Can you check it for me please? b is a column vector of 4332 hist(b,probability=T,breaks=30,col='lightblue',ylim=c(0,1)) rug(b) When I used rug, I find the records are smaller than 4332. I don't know where I did wrong. Thanks. -- Yi Du [[alternative HTML version deleted]]

Hallo R-experts, I produced a R graphic with the help of the following commands: plot(0:4,0:4, type = "n", xlab = "X-Werte", ylab = "Y-Werte") points(rnorm(100), rnorm(100), col = "black") locator(2, type= "l") locator(2, type = "l", col = "red") I could display this graphic by using windows() before entering those commands.

This looks like a bug? Unable to use scan(pipe()) while profiling. I have no idea whether this version of R violates the "do not use `Rprof' in an executable built for profiling" warning in ?Rprof. Thanks -Don > version _ platform powerpc-apple-darwin1.4 arch powerpc os darwin1.4 system powerpc, darwin1.4 status Patched major 1 minor 3.1 year

Thanks it worked for me. I wanted to plot days since planting on x-axis 1 and years on x-axis 3. LAI_simulation$Date <- as.Date( LAI_simulation$Date, '%Y/%m/%d') LAI_simulation$Date <- as.integer(LAI_simulation$Date - as.Date("2009-10-07")) plot(LAI~Date,data=LAI_simulation,xlab="Days since Oct, 7,

Hello, I'm tearing my hair out over this. Any help will be very much appreciated. It's been two long nights battling with RMySQL. > library(RMySQL) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library "/usr/local/lib/R/library/RMySQL/libs/RMySQL.so": dlcompat: dyld: /usr/local/lib/R/bin/R.bin Undefined symbols: _getopt_long

I need to merge three datasets and don't know how. If I were using SQL, I would use df3, look up the characteristics of each date in df1 and the value for each observation in df2. df1 - unique list of Dates and characteristics of those dates Date, YYYYMM, YYYYWW, DOW df2 - the raw data Date, Place, Value df3 - all posibile combinations of Date + Place (via