search for: nmissing

Here is a programming question. The code I am using is quite slow and I was wondering if there is a way to get rid of the for loop. I am dealing with "interaction" in 2x2 table, and am using Edwards's G_I (Likelihood, p. 194). I label the cells in the table as follows stim response "y" "n" total -------------------------------- y hit miss nsignal

...es not need any extra arguments") + error (f_"--list option does not need any extra arguments") ) | `Notes -> (match args with @@ -246,7 +246,7 @@ read the man page virt-builder(1). | [] -> error (f_"virt-builder --notes os-version\nMissing 'os-version'. Use '--list' to list available template names.") | _ -> - error (f_"virt-builder: too many parameters, expecting 'os-version'"); + error (f_"--notes: too many parameters, expecting 'os-version'");...

Here is a problem that perhaps someone out here has an idea about. It vaguely reminds me of something I've seen before, but can't place. Can anyone help? For multiple imputation, there are simpler methods available if the patterns of missing data are 'monotone' --- if Vj is missing then all variables Vk, k>j are also missing, vs. more complex methods required when the

...the script twice with N = 1002 crashes R # 3. Running the script twice with N = 1003 crashes R (every time?) # 4. Running the script twice with N = 2000 crashes R (every time!) N <- 1003 # Create an directory with N files dest <- "dir" dir.create(dest) files <- list.files(dest) nMissing <- (N - length(files)) if (nMissing > 0) { idx <- (length(files)+1):N filename <- sapply(as.integer(idx), FUN=sprintf, fmt="file%05d.txt") pathname <- paste(dest, filename, sep="/") for (k in seq(pathname)) cat(file=pathname[k], 0) } # Create a zip ar...

Hello! I would like to sample 5 % of cases and from 1 to 3 variables within selected cases and set them as NA (MCAR-Missing completely at random). I managed to sample cases and variables, but I don’t know how to set them as NA. R code: N <- 1000      ####number of cases n <- 12           ####number of variables X <- matrix(rnorm(N * n), N, n)    ####matrix pMiss <- 0.05    

...the script twice with N = 1002 crashes R # 3. Running the script twice with N = 1003 crashes R (every time?) # 4. Running the script twice with N = 2000 crashes R (every time!) N <- 1003 # Create an directory with N files dest <- "dir" dir.create(dest) files <- list.files(dest) nMissing <- (N - length(files)) if (nMissing > 0) { idx <- (length(files)+1):N filename <- sapply(as.integer(idx), FUN=sprintf, fmt="file%05d.txt") pathname <- paste(dest, filename, sep="/") for (k in seq(pathname)) cat(file=pathname[k], 0) } # Create a zip ar...

...the script twice with N = 1002 crashes R # 3. Running the script twice with N = 1003 crashes R (every time?) # 4. Running the script twice with N = 2000 crashes R (every time!) N <- 1003 # Create an directory with N files dest <- "dir" dir.create(dest) files <- list.files(dest) nMissing <- (N - length(files)) if (nMissing > 0) { idx <- (length(files)+1):N filename <- sapply(as.integer(idx), FUN=sprintf, fmt="file%05d.txt") pathname <- paste(dest, filename, sep="/") for (k in seq(pathname)) cat(file=pathname[k], 0) } # Create a zip ar...

Hi, I have been trying unsuccessfully to plot data using different colors based on a variable within a subset of an imported file. The file I am reading is about 20000 lines long and has a column (in the example called FILE) that contains approximately 100 unique entries. I would like to plot a subset of the data from the file and key the color from the FILE column, This is what my file looks like

I am unclear on whether to run R CMD check pgkname as user or as root on Linux. When running as user, after all the latex, html, and man files are created, I get the following error message: Rdconv(): Couldn't open '': Permission denied Has anyone dealt with that message? When I run R CMD check a second time, all latex, html, etc. are recreated which takes quite a while. Is there

I am encountering an error I do not know how to debug. The error arises when I try to add an interaction term involving two continuous variables (defined using rcs functions) to an existing (and working) model. The new model reads: model5 <- lrm( B_fainting ~ gender+ rcs(exactage, 7) + rcs(DW_nadler_bv, 7) + rcs(drawtimefrom8am, 7)+ DW_firsttime+ DW_race_eth +

...alloc in ncread */ double ofs, scl; /* offset and scaling factors */ double *ptr; SEXP field, dim, dimnames, lon, lat, tim, missing; printf("ncfile= %s, vname=%s\n",fname,vname); printf("\nfield->%x\nlon -> %x\nlat -> %x\ntim -> %x\nmissing -> %x\n", field,lon,lat,tim,missing); /* Call the function dealing with the netCDF data */ /* The data is placed in memeory */ status=ncread(fname, vname, &nx, &ny, &nt, &ptrs, &scl, &ofs); /* Allocate space for pointers */ /* Use PROTECT to ens...

Hello!   I would like to sample 30 % of cases (with at least 1 value lower than 3) and among them I want to set all values lower than 3 (within selected cases) as NA (NMAR- Not missing at random). I managed to sample cases, but I don’t know how to set values (lower than 3) as NA.   R code:   x <-

I have been attempting to use cph models to get better calibration of my models for which I had originally used logistic regression. I tried running with 40 repetitions and got an error. I then tried 500 repetitions (thinking that the NaNs in the output below might be caused by that choice) and then let my computer crunch for several hours and got only the same error message and

Hello I just updated the kernel, dahdi-linux and dahdi-tools Im also using now asterisk 1.4.26.1 And im still with a red light (not RED/YELLOW anymore): [root at catumbela ~]# /etc/rc.d/init.d/dahdi status ### Span 1: TE4/0/1 "T4XXP (PCI) Card 0 Span 1" (MASTER) HDB3/ RED 1 PRI CAS RED 2 PRI CAS RED 3 PRI CAS RED 4 PRI

...lab[2], side = 4, at = mean(par("usr")[3:4]), line = 3, xpd = NA) } else { mtext(ylab[2], side = 4, at = 0.5 * f.row, line = 3.25, outer = TRUE, xpd = NA) } } if (length(missingrows) > 0) { cat("\nMissing rows:", missingrows, "\n") invisible(missingrows) } } ---1149173172-1804289383-983267779=:26068 Content-Type: TEXT/plain; NAME="test.asc" RDA1 5 0 9 row.names 5 names 5 class 6 levels 3 cxt 2 0 0 1 0 0 5 -1 19 0 1 4 13 0 1 90 1 1 1 1 1 1 1 1 1 1 1...

...[ L"format" ], Getopt.Set_string ("raw|qcow2", format), s_"Output format (default: raw)"; @@ -231,26 +231,26 @@ read the man page virt-builder(1). (match args with | [arg] -> arg | [] -> - error (f_"virt-builder os-version\nMissing 'os-version'. Use '--list' to list available template names.") + error (f_"virt-builder os-version\nMissing ‘os-version’. Use ‘--list’ to list available template names.") | _ -> - error (f_"too many parameters, expecting 'os-version...

Currently the blacklist is maintained by hand in kprobes.c which is separated from the function definition and is hard to catch up the kernel update. To solve this issue, I've tried to implement new NOKPROBE_SYMBOL() macro for making kprobe blacklist at build time. Since the NOKPROBE_SYMBOL() macros can be placed right after the function is defined, it is easy to maintain. This series

Currently the blacklist is maintained by hand in kprobes.c which is separated from the function definition and is hard to catch up the kernel update. To solve this issue, I've tried to implement new NOKPROBE_SYMBOL() macro for making kprobe blacklist at build time. Since the NOKPROBE_SYMBOL() macros can be placed right after the function is defined, it is easy to maintain. This series

Hi, Here is the version 3 of NOKPORBE_SYMBOL series. Currently the blacklist is maintained by hand in kprobes.c which is separated from the function definition and is hard to catch up the kernel update. To solve this issue, I've introduced NOKPROBE_SYMBOL() macro for making kprobe blacklist at build time. Since the NOKPROBE_SYMBOL() macros can be placed right after the function is defined

Hi, Here is the version 3 of NOKPORBE_SYMBOL series. Currently the blacklist is maintained by hand in kprobes.c which is separated from the function definition and is hard to catch up the kernel update. To solve this issue, I've introduced NOKPROBE_SYMBOL() macro for making kprobe blacklist at build time. Since the NOKPROBE_SYMBOL() macros can be placed right after the function is defined