similar to: iterate over vector with "range vector" inside

Hi, I am relatively new to R; when creating functions, I run into problems with missing values. I would like my functions to ignore rows with missing values for arguments of my function) in the analysis (as for example is the case in STATA). Note that I don't want my function to drop rows if there are missing arguments elsewhere in a row, ie for variables that are not arguments of my

I am working with some survival data with missing values. I am using the mice package to do multiple imputation. I have found code in this thread which handles pooling of the MI results: https://stat.ethz.ch/pipermail/r-help/2007-May/132180.html Now I would like to plot a survival curve using the pooled results. Here is a reproducible example: require(survival) require(mice) set.seed(2) dt

Hi, I used to use reshape and moved to reshape2 (R 2.15.1). Now I tried some of my older scripts and was surprised that my cast function wasn't working like before. What I did/want to do: 1) Melt a dataframe based on a vector specifying column names as measure.vars. Thats working so far: dfm <- melt(df, measure.vars=n, variable_name = "species", na.rm = FALSE) 2) Recast the

Hello all, I really appreciate how helpful the people in this list are. Would it be too much to ask to send a small script to have it peer-reviewed? to make sure I am not making blatant mistakes? The script takes an experiment.dat as input and generates system Throughput using ggplot2. It works now ... [sigh] but I have this nasty feeling that I might be doing something wrong :). Changing

Full_Name: Roland Puntaier Version: 1.8.1 OS: Windows XP Submission from: (NULL) (62.99.238.78) I have a data frame with some columns being logical. I wanted to calculate a column that is an AND combination of the other logical columns. I tried to use apply(df,1,all) It did not work because of the implicit string conversion. So I made the functions All<-function(...)

R-helpers: I have a dataset that has 168 subjects and 12 variables. Some of the variables have missing data and I want to use the multiple imputation capabilities of the "mice" package to address the missing data. Given that mice only supports linear models and generalized linear models (via the lm.mids and glm.mids functions) and that I need to fit Cox models, I followed the previous

I read in a CSV file with Data <- read.csv(file="FileName.csv",head=TRUE,sep=",") the file containts strings in the 2nd and 3rd columns and each has about 1000 rows. I need to either loop through the strings there looking for strings that would trigger other logic or remove those rows and put them in another array and loop through them in the new array. I can't seem

Hi, have anybody a hint how i could avoid the cumbersome way (..especially the value part) change the data representation from n column data.frame to an stacked representation. many thanks Christian #example data dfw <- as.data.frame(matrix(runif(10*10),ncol=10)) dfw$group <- sample(c("X","Z"),nrow(dfw),replace=T,prob=c(0.75,0.25)) # change var <-

Hi, i get no success change the title of the "fill" (colour) legend and the defintion of "levels". Have anybody a hint how i can do this. df <- data.frame(variable=sample(c("A","B","C"),1000,replace=T,prob=c(0.22,0.28,0.5)),group=gl(2,500)) p <- ggplot(df, aes(x = variable)) p + geom_histogram(aes(y= ..count.. /

Hi There, I get the following error from the code pasted below: Error in storage.mode(test) <- "logical" : object 'HGBmt12_Natl_Ave_or_Facility' not found library(RODBC) library(car) setwd("c://temp//cms") a07.connect <- odbcConnectAccess2007("DFC.accdb") sqlTables(a07.connect) ##provides list of tables## dataset <-

Hello, I would like to reshape a dataframe into an array. This is kind a similar task as Excel performs with a Pivot table. To illustrate it: LOC <- factor(c(1,2,2,3,1,1)) SPEC1 <- c(0,0,23,0,12,11) SPEC2 <- c(1,2,0,0,0,4) df <- data.frame(LOC,SPEC1,SPEC2) # original dataframe a <-

Package: logcheck-database Version: 1.2.37 Severity: normal Hello again, openntpd gives messages like these failry often: Apr 7 14:25:55 terminus ntpd[673]: peer 204.17.42.202 now invalid Apr 7 14:26:10 terminus ntpd[673]: peer 204.17.42.202 now valid I am not sure if this is something that an admin may find relevant but they happen fairly often and they do not offer a lot of info for me.

Package: logcheck-database Version: 1.2.36 Severity: wishlist Hello, I recently blew away my old logcheck-databse and lost a number of changes that i had made to postfix entries. The default database for postfix reports the following errors that do not seem to be important... Apr 2 13:00:19 terminus postfix/local[29516]: 574B9B3B9F: to=<doug at localhost>, relay=local, delay=13,

Greetings everyone, I was wondering if anyone had experience in using fda (flexible discriminant analysis) in the mda package. Specifically, I can run the model but I cant locate/produce much of anything beyond the predicted values and confusion matrix. I've been searching for more examples or documentation but cant seem to locate any specific to the program itself. I need to be able to find

I would lilke to shape upload ftp bandwidth in a dual ISP setup [shorewall show connections] tcp 6 431215 ESTABLISHED src=192.168.2.89 dst=83.xxx.xxx.23 sport=1487 dport=21 src=83.xxx.xxx.23 dst=10.0.11.2 sport=21 dport=1487 [ASSURED] use=2 mark=1 [tcdevices] #INTERFACE IN-BANDWITH OUT-BANDWIDTH $EIF 970kbit 245kbit $LIF 970kbit 245kbit

Wrap your data frame in data.matrix() and you should be fine; e.g., apply(data.matrix(df), 1, all) Don't think this qualifies as bug... Andy > From: roland.puntaier@chello.at > > Full_Name: Roland Puntaier > Version: 1.8.1 > OS: Windows XP > Submission from: (NULL) (62.99.238.78) > > > I have a data frame with some columns being logical. > I wanted to

Wrap your data frame in data.matrix() and you should be fine; e.g., apply(data.matrix(df), 1, all) Don't think this qualifies as bug... Andy > From: roland.puntaier@chello.at > > Full_Name: Roland Puntaier > Version: 1.8.1 > OS: Windows XP > Submission from: (NULL) (62.99.238.78) > > > I have a data frame with some columns being logical. > I wanted to

I'm running windows xp, R 2.3.1 with maptools 0.6-6, I guess. When plotting from a large SpatialLinesDataFrame and using xlim & ylim to reduce the area, the plot axes automatically have the same scale size, even if xlim and ylim ranges differ. E.g.: tmp <- readShapeLines(filepath) plot(tmp,xlim=c(-126,-119),ylim=c(50,51)) The y-axis range is actually 47-54, same range as the x-axis.

Dear R users, I need to rename the columns of a series of data frames. The names of the data frames and those of the columns need to be pulled from some vectors. I tried a couple of things but only got errors. What am I missing? #---create data frame dframes <- c("a","b","c") assign(dframes[2],data.frame(11:20,21:30)) #---rename the columns cols <-

Dear colleagues, I have troubles while trying to display legend on the plot. I have data.frame fr > fr year M1 M2 1 1979 58.85198 56.77303 2 1980 57.59725 55.93749 3 1981 57.32133 55.55232 4 1982 54.69320 53.10566 5 1983 56.58973 55.03811 6 1984 58.81363 56.97641 7 1985 58.35583 56.82091 8 1986 60.41842 58.45457 9 1987