similar to: Subtract days to dates in POSIXct format

Hello, ? I have to create a new column from the values of other columns of a data frame. The new?column (y$n) is created imposing a condition (using a third variable y$h) that assigns the values of two time variables (y$b and y$timepos). Here's the piece of code to get there (using the attached files): ? xact <- read.table("act.lig", sep = ',',

Hi, I am using colsplit (package = reshape) to split all strings in a column according to the same patterns. Here an example: library(reshape2) df1 <- data.frame(x=c("str1_name2", "str3_name5")) df2 <- data.frame(df1, colsplit(df1$x, pattern = "_", names=c("str","name"))) This is nearly what I want but I want to remove the words

Hi, I have a data.frame that contains a variable act which records the duration (in seconds) of two states (wet-dry) for several individuals (identified by Ring) over a period of time. Since I want to work with daytime (i.e. from sunrise till sunset) and night time (i.e. from sunset till next sunrise), I have to split act from time[i] till sunset and from sunset until time[i+1], and from time[k]

Dear list, I'm trying to figure out how to use the reshape package to reshape data from a "wide" format to a "long" format. I have data like this pid <- c(1:10) predA <- c(-1,-2,-1,-2,-1,-2,-1,-2,-1,-2) predB.1 <- c(0,0,0,1,1,0,0,0,1,1) predB.2 <- c(2,2,3,3,3,2,2,3,3,3) predC.1 <- c(10,10,10,10,10,11,11,11,11,11) predC.2 <-

Hello, I would like to ask you for help. I have quite a big dataframe (119 313 rows), this is a part of it: "jul" "ind" "time" "secs" "geo" "act" "lig" "date.x" "clock" "h" "m" "s" "d" "mo" "y" "dtime" "land" "date.y"

bm_rld_set seems obsolete now Signed-off-by: liguang <lig.fnst at cn.fujitsu.com> --- include/acpi/processor.h | 1 - 1 files changed, 0 insertions(+), 1 deletions(-) diff --git a/include/acpi/processor.h b/include/acpi/processor.h index ea69367..cfec509 100644 --- a/include/acpi/processor.h +++ b/include/acpi/processor.h @@ -188,7 +188,6 @@ struct acpi_processor_flags { u8

bm_rld_set seems obsolete now Signed-off-by: liguang <lig.fnst at cn.fujitsu.com> --- include/acpi/processor.h | 1 - 1 files changed, 0 insertions(+), 1 deletions(-) diff --git a/include/acpi/processor.h b/include/acpi/processor.h index ea69367..cfec509 100644 --- a/include/acpi/processor.h +++ b/include/acpi/processor.h @@ -188,7 +188,6 @@ struct acpi_processor_flags { u8

bm_rld_set seems obsolete now Signed-off-by: liguang <lig.fnst at cn.fujitsu.com> --- include/acpi/processor.h | 1 - 1 files changed, 0 insertions(+), 1 deletions(-) diff --git a/include/acpi/processor.h b/include/acpi/processor.h index ea69367..cfec509 100644 --- a/include/acpi/processor.h +++ b/include/acpi/processor.h @@ -188,7 +188,6 @@ struct acpi_processor_flags { u8

all result :) # ls -l /home/       --> on DC svad01 drwr-xr-x  4  root  root 4096 oct.  30 15:57 home drwr-xr-x  4  root  root 4096 oct.  30 15:57 profiles drwrwxr-x  4  root  root 4096 oct.  30 15:57 public drwr-xr-x  4  root  root 4096 oct.  30 15:57 services /etc/samba/smb.conf [global]   netbios name = svad01   realm = SITE.SOCIETE.LOCAL   workgroup = SITE   dns forwarder =

# I am sure that I could be more efficient than this but how? Thanks in advance. #GPS in Decimal Degrees in the form longitude latitude RM215 <- matrix(c(-82.1461363, 33.5959109), nrow=1) SC <- matrix(c(-82.025888, 33.606454), nrow=1) RM202 <- matrix(c(-81.9906723, 33.5027653), nrow=1) RM198 <- matrix(c(-81.926823, 33.4634678), nrow=1) HC <- matrix(c(-81.920505, 33.46192), nrow=1)

My data frame shows changes on the variable act which records the consecutive duration (in seconds) of two states (wet-dry) over a few days for several?individuals (identified by Ring). Since I want to work with daytime (i.e. from dawn till dusk) and night time (i.e. from dusk till next dawn), I have to split act in two: from time[i] till dusk and from dusk until time[i+1], and from time[k] till

Hi ... I wonder if anyone can provide some insight into why the first three examples using the sunriset function (appended below, with results) give the correct answer, but the fourth generates and error. The first two use ISOdatetime with and without a time zone attribute, and the sunriset function returns the correct sunset time. The third and fourth adds 10 seconds to the ISOdatetime

Hello, I have a dataset with multiple entries in one field separated by "/" characters. (The true dataset has long names, 20-odd variables, and hundreds of observations.) v1 v2 1 A L 2 A/B M 3 C N 4 D/E/F O 5 A P 6 C L What I would like is to have a dataset that looks like this instead: > my.df v1 v2 1 A L 2 A M 3 B M 4 C N 5 D O 6 E O

Hello all, After beating my head against the wall for a few hours, I give up. I have two problems. 1. If I use seq() to generate a POSIXct series that crosses a daylight savings to stardard time change I get two values for the first day of change. The time change is Nov 6,2011. The value for Nov 7 turns into 23:00 on Nov 6, thus two values for Nov 6. (see below) So I put a time value (noon)

Estimados amigos, Estoy familiarizándome con los modelos lineales generalizados en R. Estoy interesado en realizar un análisis lig linear y me gustaría saber cuáles son o como extraer los valores correspondientes al chi cuadrado en el análisis para cada grupo y para las interacciones. Desde ya muchas gracias y disculpas si la pregunta es muy básica, adjunto los comandos que estoy utilizando. Si

Estimados amigos, Estoy familiarizándome con los modelos lineales generalizados en R. Estoy interesado en realizar un análisis lig linear y me gustaría saber cuáles son o como extraer los valores correspondientes al chi cuadrado en el análisis para cada grupo y para las interacciones. Desde ya muchas gracias y disculpas si la pregunta es muy básica, adjunto los comandos que estoy utilizando. Si

Estimados amigos, Estoy familiarizándome con los modelos lineales generalizados en R. Estoy interesado en realizar un análisis lig linear y me gustaría saber cuáles son o como extraer los valores correspondientes al chi cuadrado en el análisis para cada grupo y para las interacciones. Desde ya muchas gracias y disculpas si la pregunta es muy básica, adjunto los comandos que estoy utilizando. Si

RM215.sp <- SpatialPoints(RM215, proj4string=CRS("+proj=longlat +datum=WGS84")) d060101 <- as.POSIXct("2006-01-01", tz="EST") study_seq <- seq(from=d060101, length.out=761, by="days") up.215 <- sunriset(RM215.sp, study_seq, direction="sunrise", POSIXct.out=TRUE) down.215 <- sunriset(RM215.sp, study_seq, direction="sunset",

Hello, I'm trying to import into R files that contain data downloaded from logger devices as files with the following formats: .act .lig .trj .trn These files are essentially text files but use both tabs and commas as separators. I've tried the function scan: 1) scan("filename.act", what=character(0)) returns only two columns from the original 5 2) scan("copia.act",

I am using code that previously worked to remove stopwords using package "tm". Even manually adding "the" to the list does not work to remove "the". This package has undergone extensive redevelopment with changes to the function syntax, so perhaps I am just missing something. Please see my simple example, output, and sessionInfo() below. Thanks! Mark require(tm)