[R] Dataframe Manipulation

[PIKAL Petr]

Hi

It seems to me like homework, there is no homework policy on this help list.

What do you want to do with your table 3? It seems to me futile.

Anyway, some combination of melt, merge, cast and regular expressions could be employed in such task, but it could be rather tricky.

But be aware that

Suger does not match sugar (I wonder that sugar is dairy product)

and you mix uppercase and lowercase letters which could be also problematic, when matching words.

Cheers
Petr

> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Hemant Sain
> Sent: Wednesday, August 30, 2017 8:28 AM
> To: r-help at r-project.org
> Subject: [R] Dataframe Manipulation
>
> i want to do a market basket analysis and I’m trying to create a dataset for that
> i have two tables, one table contains daily transaction of products in which
> each row of table shows item purchased by the customer, The second table
> contains parent group under those products are fallen, for example under fruit
> category there are several fruits like mango, banana, apple etc.
> i want to create a third table in which parent group are mentioned as header
> which can be extracted from Table 2, and all the rows represent transaction of
> products
>
> with their names, and if there is no transaction for any parent category then
> the cell supposed to fill as NA. please help me with R or C/c++ code( R would be
>
> preferred) here I’m attaching you all three tables for better reference i have
> first two tables and i want to get a table like table 3
>
> Tables are explained in the attached doc.
>
> --
> hemantsain.com

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