search for: 44.8

I've got a list of 5 matrices that are each 5 x 6. I'd like to end up with a 5 x 6 matrix that contains the mean value of the 5 original matrices. I can do this by brute force, but there must be a better way than making each matrix into a vector and then remaking a matrix thanks very much for any help david freedman ll=list(structure(c(9.7, 17.6, 20.8, 24.1, 33.8, 14.5, 25.7, 29.8,

Current sources (git-b1b6caf) were compiled with GCC 4.8.2 and GCC 4.9.0 with various -msseN options (the default is -msse2). Then I took two WAV files (one is 16-bit and the other is 24-bit) and compressed them using best compression mode. The results are in the table below. (please remember that the resulting value is an encoding time, not encoding speed) CPU: Intel Core i7 950 (up to SSE4.2)

I having issues with my memory size in R for Windows. I have implemented the 3gb switch for Windows 7 32 bit with 8gb of memory, only 4gb is available for use due to 32 bit limitations. 512Mb is taken by the shared video card, the memory limit is 2559mb yet I cannot use more than 1.5 gb of memory. I have searched eveywhere and cannot find any resolution to my issue. > memory.limit() [1]

Hello, I'm writing some genetic simulations in R where I would like to place genes along a chromosome proportional to the density of markers in a given region. For example, a chromosome can be presented as a list of marker locations: Chr1<-c(0, 6.5, 17.5, 26.2, 30.5, 36.4, 44.8, 45.7, 47.8, 48.7, 49.2, 50.9, 52.9, 54.5, 56.5, 58.9, 61.2, 64.1) Where the numbers refer to the locations of

Dear Rui, Not working. I have entirely removed the column containing % but am still bootless: > head(coredata(INFYTX)) INFY Historical Data INFY Historical Data INFY Historical Data INFY Historical Data [1,] "47.26" "44.28" "47.56" "44.28" [2,] "46.30" "44.92"

Isn't this like trying to tie up the horse after it has left the barn? Why not figure all this out _before_ converting to xts? On April 12, 2023 12:29:49 PM PDT, akshay kulkarni <akshay_e4 at hotmail.com> wrote: >Dear Rui, > Not working. I have entirely removed the column containing % but am still bootless: > >> head(coredata(INFYTX)) > INFY

?s 19:57 de 12/04/2023, akshay kulkarni escreveu: > Dear members, > I have an xts object: > >> head(INFYTX) > INFY Historical Data INFY Historical Data.1 INFY Historical Data.2 > 2003-04-16 "47.26" "44.28" "47.56" > 2003-04-17 "46.30" "44.92"

Hi, If I set the p.adjust="none", does it meant that the output p values from the pairwise.t.test will be the same as those from individual t.tests (set var.equal=T, alternative="t")? I actually got different p values from the two tests. See below. Is it supposed to be this way? Thanks Johnny > x [1] 61.6 52.7 61.3 65.2 62.8 63.7 64.8 58.7 44.9 57.0 64.3 55.1 50.0 41.0

Hi, Suppose I have the following vector (data points): > x [1] 36.0 57.3 73.3 92.0 300.4 80.9 19.8 31.4 85.8 44.9 24.6 48.0 [13] 28.0 38.3 85.2 103.6 154.4 128.5 38.3 72.4 122.7 123.1 41.8 21.7 [25] 143.6 120.2 46.6 29.2 44.8 25.0 57.3 96.4 29.4 62.9 66.4 30.0 [37] 24.1 14.8 56.6 102.4 117.5 90.4 37.2 79.6 27.8 17.1 26.6 16.3 [49] 41.4 48.9 24.1

In preparing data sets for the lme library, I bring the data into R, convert it to the groupedData class, which is an extension of the data.frame class, and use "dump" to create an R-readable version. To cut down on the size of these files I convert the row.names attribute from expressions like c("1", "2", ..., "54") to 1:54. I have run into a curious

Dear members, I have an xts object: > head(INFYTX) INFY Historical Data INFY Historical Data.1 INFY Historical Data.2 2003-04-16 "47.26" "44.28" "47.56" 2003-04-17 "46.30" "44.92" "46.53" 2003-04-21 "45.82"

Dear Devs, The support for multiple xscreens (i.e. no xinerama, just separate :0.0 and :0.1 displays) in nouveau is broken. It would be great if someone could confirm this. It is easily done, by commenting the "xinerama" option from the xorg.conf file: https://nouveau.freedesktop.org/wiki/MultiMonitorDesktop/ With the nvidia proprietary drivers separate xscreens work fine. Could

Hi, I am trying to the data from https://online.stat.psu.edu/onlinecourses/sites/stat501/files/ch15/employee.txt without any success. Below is the error I am getting: > read.delim('https://online.stat.psu.edu/onlinecourses/sites/stat501/files/ch15/employee.txt') Error in make.names(col.names, unique = TRUE) : invalid multibyte string at '<ff><fe>t' In

I just got a new monitor for my desktop system (the old one died after *many* years of service). The new monitor is a high res 16:9 monitor, but the VESA video driver insists on using 1024x768 (which was the resolution of the *old* monitor). It does seem to detect higher, 16:9 resolutions but it is not using them. I *think* I need to set some low-level video mode thing, but it has been a

Hi Jeff, Thank you for the suggestions -- I appreciate your help. Unfortunately, the result2 has two problems... (1) there are now 3 date columns (it looks like 2 cols are merged into 1 col) (2) the output rows should not have any of the basistime dates repeated (maybe I misstated the problem); I need the max fcst value by basistime, but also list the date value for that row; for example:

Hello all! I've been struggling with is for many hours today; I'm close to getting what I want, but not close enough... I have a dataframe consisting of two date-time columns followed by two numeric columns. what I need is the max value (in the first numeric column) based on the 2nd date-time column, which is essentially a factor. But, I want the result to provide both date-time values

On Thu, 26 Oct 2017, Thomas Adams wrote: > Hi Jeff, > > Thank you for the suggestions -- I appreciate your help. Unfortunately, the > result2 has two problems... > > (1) there are now 3 date columns (it looks like 2 cols are merged into 1 > col) No, there are two date columns. Result2 includes the grouping value as a row name (pulled from the names of the dta2list items

Evan, A test case is extremely hard to pin down. For months now, we've noticed our stage 2 LLVM ARM build has sporadic failures. Tests would start failing, then start working, then start failing, etc, for no apparent reason. The test case I have (llc.bc, which is all of llc in bitcode form, 44.8 MB), only works against r149814. And in this case, there are only 2 cases of the miscompile

Thanks for the dput... #### reproducible example of split-apply-combine ### dta <- structure(list(date = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L), .Label = c("2012-01-25 18:00:00",

Hello, I did a cross-validation using cvlm from DAAG package but wasn't sure how to assess the result. Does this result means my model is a good model? I understand that the overall ms is the mean of sum of squares. But is 0.0987 a good number? The response (i.e. gailRel5yr) has min,1st Quantile, median, mean and 3rd Quantile, and max as follows: (0.462, 0.628, 0.806, 0.896, 1.000, 2.400) ?