Bert, thanks for responding to my email. I do realise that newbie's like my
can expect curt answers but not to worry. I am definitely learning 'R'
and what I posted are also statements from R. The statements run perfectly well
but don't do what I want them to do. My mistake I have posted sample data.
Here is the data:
COMPANY_NUMBER COMPANY_NAME YEAR_END_DATE Turnover
22705 AA 30/09/10 420,000
22705 AA 30/09/09 406,000
113560 BB 30/06/19 474,000
192761 CC 31/01/19 796,000
192761 CC 31/01/18 909,000
192761 CC 31/01/17 788,000
5625107 DD 30/06/19 3,254,002
5625107 DD 30/06/18 1,840,436
All_companies$count <-0
while All_companies$COMPANY_NAME == All_companies$COMPANY_NAME + 1
+ {All_companies$count=All_companies$count+1}
I want to find out many times each company has appeared in the dataframe and the
average of the turnover for the years. Like company AA appears twice and average
turnover is 413,000.
'All_companies' is the name of the dataframe.
In the end apologies for not being more clear the first time around and of
course many thanks for your help in advance.
Kind regards
Ahson
On 21 July 2020 at 18:41 Bert Gunter <bgunter.4567 at gmail.com> wrote:
What language are you programming in? -- it certainly isn't R.
I suggest that you stop what you're doing and go through an R tutorial or
two before proceeding. This list cannot serve as a substitute for doing such
homework (is this homework, btw? -- that's off topic here) nor can we
provide such tutorials.
I'm pretty sure the answer is quite simple, though it's a bit unclear as
you did not provide a reprex (see the posting guide linked below for how to post
here). However, I see no purpose in my blurting it out when you do not seem
aware of even the most basic R constructs -- e.g. see ?while. Of course, others
may disagree and provide you what you seek.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
Hi, Your sample code suggests that you don't yet understand how R works, and might benefit from a tutorial or two. However, your verbal description of what you want is quite straightforward. Here's a R-style way to count the number of times each company appears, and to get the mean value of Turnover for each company: All_companies <- read.table(text "COMPANY_NUMBER COMPANY_NAME YEAR_END_DATE Turnover 22705 AA 30/09/10 420000 22705 AA 30/09/09 406000 113560 BB 30/06/19 474000 192761 CC 31/01/19 796000 192761 CC 31/01/18 909000 192761 CC 31/01/17 788000 5625107 DD 30/06/19 3254002 5625107 DD 30/06/18 1840436", header=TRUE) table(All_companies$COMPANY_NAME) AA BB CC DD 2 1 3 2 aggregate(Turnover ~ COMPANY_NAME, data = All_companies, FUN = mean) COMPANY_NAME Turnover 1 AA 413000 2 BB 474000 3 CC 831000 4 DD 2547219 On Wed, Jul 22, 2020 at 7:36 PM e-mail ma015k3113 via R-help <r-help at r-project.org> wrote:> > Bert, thanks for responding to my email. I do realise that newbie's like my can expect curt answers but not to worry. I am definitely learning 'R' and what I posted are also statements from R. The statements run perfectly well but don't do what I want them to do. My mistake I have posted sample data. Here is the data: > > COMPANY_NUMBER COMPANY_NAME YEAR_END_DATE Turnover > 22705 AA 30/09/10 420,000 > 22705 AA 30/09/09 406,000 > 113560 BB 30/06/19 474,000 > 192761 CC 31/01/19 796,000 > 192761 CC 31/01/18 909,000 > 192761 CC 31/01/17 788,000 > 5625107 DD 30/06/19 3,254,002 > 5625107 DD 30/06/18 1,840,436 > > All_companies$count <-0 > while All_companies$COMPANY_NAME == All_companies$COMPANY_NAME + 1 > + {All_companies$count=All_companies$count+1} > > I want to find out many times each company has appeared in the dataframe and the average of the turnover for the years. Like company AA appears twice and average turnover is 413,000. > > 'All_companies' is the name of the dataframe. > > In the end apologies for not being more clear the first time around and of course many thanks for your help in advance. > > Kind regards > > > Ahson > > On 21 July 2020 at 18:41 Bert Gunter <bgunter.4567 at gmail.com> wrote: > > What language are you programming in? -- it certainly isn't R. > > I suggest that you stop what you're doing and go through an R tutorial or two before proceeding. This list cannot serve as a substitute for doing such homework (is this homework, btw? -- that's off topic here) nor can we provide such tutorials. > > I'm pretty sure the answer is quite simple, though it's a bit unclear as you did not provide a reprex (see the posting guide linked below for how to post here). However, I see no purpose in my blurting it out when you do not seem aware of even the most basic R constructs -- e.g. see ?while. Of course, others may disagree and provide you what you seek. >-- Sarah Goslee (she/her) http://www.numberwright.com
> library(dplyr, warn.conflicts=FALSE) > d <- data.frame(Company=c("MATH","IFUL","SSI","MATH","MATH","SSI"), Turnover=c(2,3,5,7,9,11)) > d %>% group_by(Company) %>% summarize(Count=n(), MeanTurnover=mean(Turnover), TotalTurnover=sum(Turnover))`summarise()` ungrouping output (override with `.groups` argument) # A tibble: 3 x 4 Company Count MeanTurnover TotalTurnover <chr> <int> <dbl> <dbl> 1 IFUL 1 3 3 2 MATH 3 6 18 3 SSI 2 8 16 [The 'override with .groups' comment arose in a recent version of dplyr. It is a bit annoying.] Bill Dunlap TIBCO Software wdunlap tibco.com On Wed, Jul 22, 2020 at 4:36 PM e-mail ma015k3113 via R-help <r-help at r-project.org> wrote:> > Bert, thanks for responding to my email. I do realise that newbie's like my can expect curt answers but not to worry. I am definitely learning 'R' and what I posted are also statements from R. The statements run perfectly well but don't do what I want them to do. My mistake I have posted sample data. Here is the data: > > COMPANY_NUMBER COMPANY_NAME YEAR_END_DATE Turnover > 22705 AA 30/09/10 420,000 > 22705 AA 30/09/09 406,000 > 113560 BB 30/06/19 474,000 > 192761 CC 31/01/19 796,000 > 192761 CC 31/01/18 909,000 > 192761 CC 31/01/17 788,000 > 5625107 DD 30/06/19 3,254,002 > 5625107 DD 30/06/18 1,840,436 > > All_companies$count <-0 > while All_companies$COMPANY_NAME == All_companies$COMPANY_NAME + 1 > + {All_companies$count=All_companies$count+1} > > I want to find out many times each company has appeared in the dataframe and the average of the turnover for the years. Like company AA appears twice and average turnover is 413,000. > > 'All_companies' is the name of the dataframe. > > In the end apologies for not being more clear the first time around and of course many thanks for your help in advance. > > Kind regards > > > Ahson > > On 21 July 2020 at 18:41 Bert Gunter <bgunter.4567 at gmail.com> wrote: > > What language are you programming in? -- it certainly isn't R. > > I suggest that you stop what you're doing and go through an R tutorial or two before proceeding. This list cannot serve as a substitute for doing such homework (is this homework, btw? -- that's off topic here) nor can we provide such tutorials. > > I'm pretty sure the answer is quite simple, though it's a bit unclear as you did not provide a reprex (see the posting guide linked below for how to post here). However, I see no purpose in my blurting it out when you do not seem aware of even the most basic R constructs -- e.g. see ?while. Of course, others may disagree and provide you what you seek. > > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along and sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.