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https://stackoverflow.com/questions/28879985/get-aggregate-sum-of-data-by-day-and-hour
What I would like to do is sum up the size of the files for each hour. I would like a resulting data table that looks like: date hour size 2015-01-16 5 7607 2015-01-16 6 10000 So forth and so on. But I can't quite seem to get the output I need.
https://stackoverflow.com/questions/7324934/using-r-cut-function-on-dates
Using R cut function on dates. Ask Question Asked 10 years, 3 months ago. Active 4 years, 5 months ago. Viewed 16k times 19 4. I have a dataframe giving attendances at sports events. Crowd matchDate 2345 1993-01-26 4567 1993-08-01 8888 1994-03-02 1298 1994-11-07 9876 1995-09-01 etc 1237 2011-09-09 ... Get hours difference between two dates in ...
https://stackoverflow.com/questions/14190937/how-to-get-sum-of-values-every-8-days-by-date-in-data-frame-in-r
First convert the temp data frame into zoo using read.zoo like this: library (zoo) zz <- read.zoo (temp) and then its just: rollapply (zz, 8, sum, by = 8) Drop the by = 8 if you want a rolling total instead. (Note that the two versions of temp in your question are not the same.
https://data.library.virginia.edu/working-with-dates-and-time-in-r-using-the-lubridate-package/
The out-of-the-box base R installation also provides functions for working with dates and times, but the functions in the lubridate package are a little easier to use and remember. Formatting dates. When we import data into R, dates and times are usually stored as character or factor by default due to symbols such as “-”, “:” and “/”.
https://www.earthdatascience.org/courses/earth-analytics/time-series-data/aggregate-time-series-data-r/
Work with Precipitation Data R Libraries. To get started, load the ggplot2 and dplyr libraries, set up your working directory and set stringsAsFactors to FALSE using options().. Import Precipitation Data. You will use the 805333-precip-daily-1948-2013.csv dataset for this assignment. in this analysis. This dataset contains the precipitation values collected daily from …
https://www.indeed.com/career-advice/career-development/how-to-calculate-hours-worked
To calculate the pay for that week, you would calculate their pay at the standard rate for the first 40 hours, then time and a half for the overtime hours: ($10 x 40) + ($15 x 3)= $400 + $45= $445. Companies are not required to pay overtime for salaried employees, and part-time hourly employees need to exceed 40 hours per week to earn overtime pay.
https://www.r-bloggers.com/2013/08/plot-weekly-or-monthly-totals-in-r/
When plotting time series data, you might want to bin the values so that each data point corresponds to the sum for a given month or week. This post will show an easy way to use cut and ggplot2‘s stat_summary to plot month totals in R without needing to reorganize the data into a second data frame. Let’s start with a simple sample data set with a series of dates and …
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