search for: chuckwhite8

Displaying 14 results from an estimated 14 matches for "chuckwhite8".

2010 Jan 29
1
SemiPar/spm question
Hello -- I posted this question yesterday and for some reason the post seems to be attached to the wrong thread. Also, I extended my test a little and it seems to indicate the problem is with spm. I would appreciate any help. Thanks. ========================================================== library(plyr) library(SemiPar) data <-
2010 Feb 11
1
aggregate function / custom column names?
This question is about column names returned by the aggregate function. Consider the following example df <- data.frame( id = c(rep('11',30),rep('22',30),rep('33',30)), value = c(rnorm(30,2,0.5), rnorm(30,3,0.5), rnorm(30,6,0.5)) ) aggregate(df[,c("value"),drop=FALSE], by=list(id=df$id), max) output: id value 1 11 2.693528 2 22 3.868400 3 33
2010 Jan 25
2
(no subject)
Hello -- I would like to know of a more efficient way of writing the following piece of code. Thanks. options(stringsAsFactors=FALSE) orig <- c(rep('11111111',100000),rep('22222222',200000),rep('33333333',300000),rep('44444444',400000)) orig.unique <- unique(orig) system.time(df <- as.data.frame(sapply(orig.unique, function(x) ifelse(orig==x, 1, 0))))
2010 Feb 02
1
ggplot/time series with indicators question
Hello, I am trying to plot time-series data with certain weeks highlighted using symbols. require(ggplot2) #plotting time series data timescale <- seq(as.Date("01/01/09","%m/%d/%y"), length.out=12, by=7) data.all <- data.frame( id = c(rep('111',12),rep('222',12),rep('333',12)), week=c(timescale,timescale,timescale),
2009 Nov 10
1
merge data
df1 -- dataframe with column date and several other columns. #rows >40k Several of the dates are repeated. df2 -- dataframe with two columns date and index. #rows ~130 This is really a map from date to index. I would like to create a column called index in df1 which has the corresponding index from df2. The following works: index <- NULL for(wk in df1$week){ index <-
2010 Feb 04
2
ggplot2 / time series with different scales
I am trying to plot this dataset using ggplot2: df <- data.frame( sid = c(rep('11',30),rep('22',30)), time = rep(ISOdate(year = 2010, month = 1, day = 1:30),2), sales = c(rnorm(30, 1000, 20),rnorm(30, 900, 10)), price = c(rnorm(30, 2, 0.5),rnorm(30, 3,0.5)) ) Plotting just the sales can be done easily: ggplot(data=df, aes(x=time, y=sales, group=sid, color=sid)) +
2010 May 12
1
R 2.11.0 on RHEL5 / RODBC
I am compiling R 2.11.0 on a RHEL5.3 box using the following settings ./configure --with-readline=yes --enable-R-shlib=yes --with-x=yes --with-blas="-llibptf77blas -lpthread -llibatlas" --prefix=/usr/local/R-2.11.0 JAVA_HOME=$JAVA_HOME CPPFLAGS="-I/usr/local/unixODBC-2.3.0/include" I have compiled and installed unixODBC-2.3.0 (64-bit) in /usr/local and can connect to and
2009 Nov 11
1
lm and levels
Consider the following example: x <- c(2,4,3,6) y <- c(4,9,5,10) z <- factor(c(1,1,2,2)) summary(lm("y ~ x + z")) The above works fine. Suppose I change z so that x <- c(2,4,3,6) y <- c(4,9,5,10) z <- factor(c(1,1,2,NA)) summary(lm("y ~ x + z")) the last row/observation is not considered in the regression. I would like this to be treated as z with two
2009 Oct 17
1
R292 on AIX53 using gcc
I apologize for cross posting this message in the R-help group as well. Having posted it there a couple of hours ago, I felt this may be a more appropriate forum for a question of this type. Hello -- I am unable to build R 2.9.2 on IBM PowerPC AIX5.3. I would appreciate any help in this matter. ===============details============================== Machine: IBM PowerPC_POWER5 / 4 proc, 1499
2009 Nov 02
2
R292 and tcl/tk
BACKGROUND R2.9.2 built on power5 aix5.3 using gcc 4.2.4 (also installed: tcl and tk 8.5.7) Access from a Windows XP machine using Exceed v9.0, aixterm (DISPLAY etc. setup) export LDFLAGS="-L/usr/lib64 -L/opt/freeware/lib64 -L/opt/freeware/64/lib -L/usr/X11R6/lib -L/opt/freeware/lib" export CPPFLAGS="-I/opt/freeware/include -I/usr/lpp/X11/include/X11"
2010 Jan 26
0
splitting a factor column into binary columns for each level
Yesterday I posted the following question (my apologies for not putting a subject line): =================question====================== Hello -- I would like to know of a more efficient way of writing the following piece of code. Thanks. options(stringsAsFactors=FALSE) orig <- c(rep('11111111',100000),rep('22222222',200000),rep('33333333'
2009 Oct 31
3
unable to compile RODBC (R 2.9.2, AIX)
Hello -- I am trying to compile (linker error, not compiler error) RODBC for R 2.9.2 on AIX 5.3 using gcc. I get the following error: gcc -maix64 -pthread -std=gnu99 -shared -Wl,-brtl -Wl,-G -Wl,-bexpall -Wl,-bnoentry -lc -L/usr/lib -L/usr/X 11R6/lib -L/usr/local/lib -L/opt/freeware/lib -L/opt/freeware/lib64 -o RODBC.so RODBC.o -lodbc -lm -L/usr/l ocal/builddir/lib -lR ld: 0711-738 ERROR: Input
2009 Oct 28
4
unable to compile mgcv
Hello -- I am trying to compile R-2.9.2 on IBM Power5 machine with AIX 5.3. I have posted three previous posts. Over time I have made significant progress towards getting a successful build. I am now getting the following error: ========================================================== begin installing recommended package mgcv * Installing *source* package 'mgcv' ... ** libs gmake[2]:
2010 Jan 26
1
splitting a factor column into binary columns for each factor
Yesterday I posted the following question (my apologies for not putting a subject line): =================question====================== Hello -- I would like to know of a more efficient way of writing the following piece of code. Thanks. options(stringsAsFactors=FALSE) orig <- c(rep('11111111',100000),rep('22222222',200000),rep('33333333'