Re: [R] about data manipulation

Hi lily, If you want to use aggregate, supply the name of the function: aggregate(flow~year, data=df, "sum") You can also use "by" like this by(df$flow,df$year,FUN=sum) I assume that you don't have to worry about missing months in a year. Jim : On Thu, Dec 1, 2016 at 3:06 PM, lily li

Re: [R] about data manipulation

> On 1 Dec 2016, at 05:06, lily li wrote: > > Hi R users, > > I'm trying to manipulate dataset, but met some difficulties. > > df > year month flow > 2006 33.5 > 2006 43.8 > 2006 521 > 2006 632 > 2007 34.1 >

[R] about data manipulation

Hi R users, I'm trying to manipulate dataset, but met some difficulties. df year month flow 2006 33.5 2006 43.8 2006 521 2006 632 2007 34.1 2007 44.4 ... I want to calculate total flow for each year, and use the code

Re: [R] About data manipulation

just assign it to an object x<- DT . Jim Holtman Data Munger Guru What is the problem that you are trying to solve? Tell me what you want to do, not how you want to do it. On Sun, Nov 27, 2016 at 2:03 AM, lily li wrote: > Thanks Jim, this method is very convenient

Re: [R] About data manipulation

Thanks Jim, this method is very convenient and is what I want. Could I know how to save the resulted dataframe? It printed in the console directly. On Sat, Nov 26, 2016 at 5:55 PM, jim holtman wrote: > You did not provide any data, but I will take a stab at it using the >

Re: [R] About data manipulation

You did not provide any data, but I will take a stab at it using the "dplyr" package library(dplyr) DT %>% group_by(month, id, note) %>% summarise(avg = mean(total)) Jim Holtman Data Munger Guru What is the problem that you are trying to solve? Tell me what you want to do, not how you

Re: [R] About data manipulation

A reproducible example was not provided, but I think what is wanted is either ?tapply or ?ave; e.g. within(DF, means <- ave(total, note, month, FUN = mean)) Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus

Re: [R] About data manipulation

Hi, It may help that: aggregate(DF$total, list(DF$note, DF$id, DF$month), mean) should give you means broken down by time slice (note), id and month. You could then subset means for GA or GB from the aggregated dataframe. Philip On 27/11/2016 3:11 AM, lily li wrote: Hi R users, I'm

[R] About data manipulation

Hi R users, I'm trying to manipulate a dataframe and have some difficulties. The original dataset is like this: DF year month total id note 2000 1 98GA 1 2001 1100 GA 1 2002 2 99GA 1 2002 2 80GB 1 ... 2012 1