lubridate

I have a long list of start dates of a certain procedure. Rules require the procedure to be completed in, at most, 6 business days. I wish to compute the deadline. Using lubridate in R, I can get a six-day deadline thus > library(lubridate) > date.in <- dmy(c("30-8-2001", "12-1-2003", "28-2-2003", "20-5-2004")) > date.in [1] "2001-08-30 UTC" "2003-01-12 UTC" "2003-02-28 UTC" "2004-05-20 UTC" > deadline.using.days <- date.in + days(6) > deadline.using.days [1] "2001-09-05 UTC" "2003-01-18 UTC" "2003-03-06 UTC" "2004-05-26 UTC" Is there an easy way to add six business days --- i.e., skipping

After converting factors in POSIXCT format and then applying datetime format, I want to take the difference of datetime between 2 pos1 and pos2. However, when I do that for a specific item I get the right answer in the console but when I do the operation on the whole set the console outputs just number and also the dateframe reflects those number as you can see. How can I get the hours in the dataframe when I am trying to take the difference? I am using lubridate package, is there any function to do so? Here is some example code/picture of the data in RStudio describing it CR_Date <- data

So I have a data frame that has a date column, an hour column and a series of other numerical columns. Each row in the data frame is 1 hour of 1 day for an entire year. The data frame looks like this: Date Hour Melbourne Southern Flagstaff 1 2009-05-01 0 0 5 17 2 2009-05-01 2 0 2 1 3 2009-05-01 1 0 11 0 4 2009-05-01 3 0 3 8 5 2009-05-01 4 0 1 0 6 2009-05-01 5 0 49 79 7 2009-05-01 6 0 425 610 The hours are out of order because this is subsetted from another data frame. I would like to sum the values in the numerical columns by month and possibly by day. Does anyone know how I can do this? I

I am using the following code to summarize my data by a column library(data.table, warn.conflicts = FALSE) library(lubridate, warn.conflicts = FALSE) ################ ## PARAMETERS ## ################ # Set path of major source folder for raw transaction data in_directory <- "C:/Users/NAME/Documents/Raw Data/" # List names of sub-folders (currently grouped by first two characters of CUST_ID) in_subfolders <- list("AA-CA", "CB-HZ") # Set location for output out_directory <- "C:/Users/NAME/Documents/YTD Master/" out_filename <- "OUTPUT.csv" # Set beginning and end of date range to be collected -

I have these three intervals defined: YEAR_1 <- interval(ymd('2002-09-01'), ymd('2003-08-31')) YEAR_2 <- interval(ymd('2003-09-01'), ymd('2004-08-31')) YEAR_3 <- interval(ymd('2004-09-01'), ymd('2005-08-31')) (in real life, I have 50 of these) I have a dataframe (called df ) with a column full of lubridate formatted dates. I'd like to append a new column on df which has the appropriate value YEAR_n , depending on which interval the date falls within. Something like: df$YR <- ifelse(df$DATE %within% YEAR_1, 1, NA) but I'm not sure how to proceed. I need to somehow use an apply I think? Here's

I have read in a series of 37 dates and times that an event happened. It is now sitting as a POSIXlt object. I want a graphic representation of the times that the events happened on each day. So the x axis should be the date and y axis should be the time of day. then I tried to plot it with ggplot2 qplot(day(dttm), hour(dttm)) That is kind of what I want but it does not have the resolution of minutes. How do I have hours and minutes included in the y axis? Here is some sample data dttm [1] "2011-11-16 10:39:20" "2011-11-16 10:56:32" "2011-11-16 11:52:43" "2011-11-16 12:10:42" [5] "2011-11-16

Consider the following example library(tidyverse) library(lubridate) time <- seq(from =ymd("2014-02-24"),to= ymd("2014-03-20"), by="days") set.seed(123) values <- sample(seq(from = 20, to = 50, by = 5), size = length(time), replace = TRUE) df2 <- data_frame(time, values) df2 <- df2 %>% mutate(day_of_week = wday(time, label = TRUE)) Source: local data frame [25 x 3] time values day_of_week <date> <dbl> <fctr> 1 2014-02-24 30 Mon 2 2014-02-25 45 Tues 3 2014-02-26 30 Wed 4 2014-02-27 50 Thurs 5 2014-02-28 50 Fri 6 2014-03-01 20 Sat 7 2014-03-02 35 Sun 8 2014-03-03 50 Mon 9 2014-03-04 35 Tues 10