Responses should be copied to r-help using ReplyAll. You are still sending html 
formatted emails. If you are using Microsoft Outlook, click the Format Text tab 
and select “Aa Plain Text”. No one has asked you to reveal the data set, only 
to create one with a similar structure. Is the data I sent reasonably close? 
What should it look like after it is transformed? 

David C

From: nguy2952 University of Minnesota <nguy2...@umn.edu> 
Sent: Friday, June 1, 2018 1:57 PM
To: David L Carlson <dcarl...@tamu.edu>
Subject: Re: [R] Regroup and create new dataframe

Hi,
This is not an assignment for school.
This is a project at WORK. 
I am not allowed to reveal the dataset.

Thanks!

On Fri, Jun 1, 2018 at 1:55 PM, David L Carlson <mailto:dcarl...@tamu.edu> 
wrote:
Your question raises several issues. First, we do not do homework here, so if 
this is an assignment, you will not get much help. Second, you need to send 
your emails as plain text, not html. Third, you need to provide a reproducible 
example and send your data using dput() so that we can follow what you have 
tried so far. For example, here's a data set that resembles what you have 
described:

set.seed(42)
Tape <- data.frame(Year=2011:2015, Product=rep(c("Target", "3M", "Avery"),
     each=5), Sales=sample(1000:2000, 15), Region=rep(c("North", "South",
     "West"), each=5), stringsAsFactors=FALSE)
dput(Tape)
structure(list(Year = c(2011L, 2012L, 2013L, 2014L, 2015L, 2011L, 
2012L, 2013L, 2014L, 2015L, 2011L, 2012L, 2013L, 2014L, 2015L
), Product = c("Target", "Target", "Target", "Target", "Target", 
"3M", "3M", "3M", "3M", "3M", "Avery", "Avery", "Avery", "Avery", 
"Avery"), Sales = c(1915L, 1937L, 1285L, 1828L, 1639L, 1517L, 
1732L, 1133L, 1652L, 1699L, 1453L, 1711L, 1924L, 1252L, 1456L
), Region = c("North", "North", "North", "North", "North", "South", 
"South", "South", "South", "South", "West", "West", "West", "West", 
"West")), .Names = c("Year", "Product", "Sales", "Region"), row.names = c(NA, 
-15L), class = "data.frame")

It is not clear what you want in your new data frame. This one has 5 years of 
data for each tape brand and you seem to want one row for each tape brand? 
Tables created in html and then sent to a plain text mailing list can be 
dramatically different from the original format. It is not clear that you 
cannot answer your questions from the data as presented here. Look at the 
results of unlist(split(Tape, Tape$Product)). You should see that this is 
nowhere near what you described.

----------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77843-4352

-----Original Message-----
From: R-help <mailto:r-help-boun...@r-project.org> On Behalf Of nguy2952 
University of Minnesota
Sent: Friday, June 1, 2018 10:54 AM
To: mailto:r-help@r-project.org
Subject: [R] Regroup and create new dataframe

Hello folks,

I have a big project to work on and the dataset is classified so I am just 
going to use my own example so everyone can understand what I am targeting.

Let's take Target as an example: We consider three brands of tape: Target 
brand, 3M and Avery. The original data frame has 4 columns: Year of Record, 
Product_Name(which contains three brands of tape), Sales, and Region. I want to 
create a new data frame that looks like this:

                      Year of Record       Sales     Region
  Target Brand
  3M
  Avery

Here is what I did.

   1.

   I split the original data frame which I called data1:

   X = split(data1, Product_name)

   2.

   Unlist X

   X1 = unlist(X)

   3.

   Create a new data frame

   new_df = as.data.frame(X1)


But, when I used the command View(new_df), I had only two columns: The left one 
is similar to TargetBrand.Sales, etc. and the right one is just "X1"

I did not achieve what I wanted.

**A potentially big question from readers:*

Why am I doing this?

*Answer:*

I want to run a multiple regression model later to see among different regions, 
what the sales look like for these three brands of tape:

*Does Mid-west buy more house brand than East Coast?*

or

*Does region really affect the sales? Are Mid-West's purchases similar to those 
of East Coast and West Coast?*

I need help. Please give me guidance.

Sincerely,
Hugh N

        [[alternative HTML version deleted]]

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