[R] Dataframe Manipulation
Ulrik Stervbo
ulrik.stervbo at gmail.com
Tue Sep 5 09:39:11 CEST 2017
Hi Hemant,
data_help <- data_help %>%
# Add a dummy index for each purchase to keep a memory of the purchase
since it will dissappear later on. You could also use row number
mutate(Purchase_ID = 1:n()) %>%
# For each purchase id
group_by(Purchase_ID) %>%
# Call the split_items function, which returns a data.frame
do(split_items(.))
cat_help %>%
# Make the data.frame long where the column names are gathered in a dummy
column and the items (the content of each column) in another column called
Item
gather("Foo", "Item") %>%
filter(!is.na(Item)) %>%
left_join(data_help, by = "Item") %>%
group_by(Foo, Purchase_ID) %>%
# Combine the items for each purchase and item type and make a wide
data.frame
summarise(Item = paste(Item, collapse = ", ")) %>%
spread(key = "Foo", value = "Item")
I suggest that you read the book [R for Data Science](http://r4ds.had.co.nz/)
by Garrett Grolemund and Hadley Wickham
Best wishes,
Ulrik
On Mo., 4. Sep. 2017, 09:31 Hemant Sain <hemantsain55 at gmail.com> wrote:
> Hello Ulrik,
> Can you please explain this code means how and what this code is doing
> because I'm not able to understand it, if you can explain it i can use it
> in future by doing some Lil bit manipulation.
>
> Thanks
>
>
> data_help <-
> data_help %>%
> mutate(Purchase_ID = 1:n()) %>%
> group_by(Purchase_ID) %>%
> do(split_items(.))
>
> cat_help %>% gather("Foo", "Item") %>%
> filter(!is.na(Item)) %>%
> left_join(data_help, by = "Item") %>%
> group_by(Foo, Purchase_ID) %>%
> summarise(Item = paste(Item, collapse = ", ")) %>%
> spread(key = "Foo", value = "Item")
>
> On 31 August 2017 at 13:17, Ulrik Stervbo <ulrik.stervbo at gmail.com> wrote:
>
>> Hi Hemant,
>>
>> the solution is really quite similar, and the logic is identical:
>>
>> library(readr)
>> library(dplyr)
>> library(stringr)
>> library(tidyr)
>>
>> data_help <- read_csv("data_help.csv")
>> cat_help <- read_csv("cat_help.csv")
>>
>> # Helper function to split the Items and create a data_frame
>> split_items <- function(items){
>> x <- items$Items_purchased_on_Receipts %>%
>> str_split(pattern = ",") %>%
>> unlist(use.names = FALSE)
>>
>> data_frame(Item = x, Purchase_ID = items$Purchase_ID)
>> }
>>
>> data_help <-
>> data_help %>%
>> mutate(Purchase_ID = 1:n()) %>%
>> group_by(Purchase_ID) %>%
>> do(split_items(.))
>>
>> cat_help %>% gather("Foo", "Item") %>%
>> filter(!is.na(Item)) %>%
>> left_join(data_help, by = "Item") %>%
>> group_by(Foo, Purchase_ID) %>%
>> summarise(Item = paste(Item, collapse = ", ")) %>%
>> spread(key = "Foo", value = "Item")
>>
>> HTH
>> Ulrik
>>
>> On Wed, 30 Aug 2017 at 13:22 Hemant Sain <hemantsain55 at gmail.com> wrote:
>>
>>> by using these two tables we have to create third table in this format
>>> where categories will be on the top and transaction will be in the rows,
>>>
>>> On 30 August 2017 at 16:42, Hemant Sain <hemantsain55 at gmail.com> wrote:
>>>
>>>> Hello Ulrik,
>>>> Can you please once check this code again on the following data set
>>>> because it doesn't giving same output to me due to absence of quantity,a
>>>> compare to previous demo data set becaue spiting is getting done on the
>>>> basis of quantity and in real data set quantity is missing. so please use
>>>> following data set and help me out please consider this mail is my final
>>>> email i won't bother you again but its about my job please help me
>>>> .
>>>>
>>>> Note* the file I'm attaching is very confidential
>>>>
>>>> On 30 August 2017 at 15:02, Ulrik Stervbo <ulrik.stervbo at gmail.com>
>>>> wrote:
>>>>
>>>>> Hi Hemant,
>>>>>
>>>>> Does this help you along?
>>>>>
>>>>> table_1 <- textConnection("Item_1;Item_2;Item_3
>>>>> 1KG banana;300ML milk;1kg sugar
>>>>> 2Large Corona_Beer;2pack Fries;
>>>>> 2 Lux_Soap;1kg sugar;")
>>>>>
>>>>> table_1 <- read.csv(table_1, sep = ";", na.strings = "",
>>>>> stringsAsFactors = FALSE, check.names = FALSE)
>>>>>
>>>>> table_2 <-
>>>>> textConnection("Toiletries;Fruits;Beverages;Snacks;Vegetables;Clothings;Dairy
>>>>> Products
>>>>> Soap;banana;Corona_Beer;King Burger;Pumpkin;Adidas Sport Tshirt XL;milk
>>>>> Shampoo;Mango;Red Label Whisky;Fries;Potato;Nike Shorts Black L;Butter
>>>>> Showergel;Oranges;grey Cocktail;cheese pizza;Tomato;Puma Jersy red
>>>>> M;sugar
>>>>> Lux_Soap;;2 Large corona Beer;;Cheese;Toothpaste")
>>>>>
>>>>> table_2 <- read.csv(table_2, sep = ";", na.strings = "",
>>>>> stringsAsFactors = FALSE, check.names = FALSE)
>>>>>
>>>>> library(tidyr)
>>>>> library(dplyr)
>>>>>
>>>>> table_2 <- gather(table_2, "Category", "Item")
>>>>>
>>>>> table_1 <- gather(table_1, "Foo", "Item") %>%
>>>>> filter(!is.na(Item))
>>>>>
>>>>> table_1 <- separate(table_1, col = "Item", into = c("Quantity",
>>>>> "Item"), sep = " ")
>>>>>
>>>>> table_3 <- left_join(table_1, table_2, by = "Item") %>%
>>>>> mutate(Item = paste(Quantity, Item)) %>%
>>>>> select(-Quantity)
>>>>>
>>>>> table_3 %>%
>>>>> group_by(Foo, Category) %>%
>>>>> summarise(Item = paste(Item, collapse = ", ")) %>%
>>>>> spread(key = "Category", value = "Item")
>>>>>
>>>>> You need to figure out how to handle words written with different
>>>>> cases and how to get the quantity in an universal way. For the code above,
>>>>> I corrected these things by hand in the example data.
>>>>>
>>>>> HTH
>>>>> Ulrik
>>>>>
>>>>> On Wed, 30 Aug 2017 at 10:16 Hemant Sain <hemantsain55 at gmail.com>
>>>>> wrote:
>>>>>
>>>>>> Hey PIKAL,
>>>>>> It's not a homework neithe that is the real dataset i have signer NDA
>>>>>> for
>>>>>> my company so that i can share the original data file, Actually I'm
>>>>>> working
>>>>>> on a market basket analysis task but not able to convert my existing
>>>>>> data
>>>>>> table to appropriate format so that i can apply Apriori algorithm
>>>>>> using R,
>>>>>> and this is very important me to get it done because I'm an intern
>>>>>> and if i
>>>>>> won't get it done they will not going to hire me as a full-time
>>>>>> employee.
>>>>>> i tried everything by myself but not able to get it done.
>>>>>> your precious 10-15 can save my upcoming years. so please if you can
>>>>>> please
>>>>>> help me through this.
>>>>>> i want another dataset based on first two dataset i have mentioned .
>>>>>>
>>>>>> Thanks
>>>>>>
>>>>>> On 30 August 2017 at 12:49, PIKAL Petr <petr.pikal at precheza.cz>
>>>>>> wrote:
>>>>>>
>>>>>> > 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
>>>>>> >
>>>>>> > ________________________________
>>>>>> > Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a
>>>>>> jsou
>>>>>> > určeny pouze jeho adresátům.
>>>>>> > Jestliže jste obdržel(a) tento e-mail omylem, informujte laskavě
>>>>>> > neprodleně jeho odesílatele. Obsah tohoto emailu i s přílohami a
>>>>>> jeho kopie
>>>>>> > vymažte ze svého systému.
>>>>>> > Nejste-li zamýšleným adresátem tohoto emailu, nejste oprávněni
>>>>>> tento email
>>>>>> > jakkoliv užívat, rozšiřovat, kopírovat či zveřejňovat.
>>>>>> > Odesílatel e-mailu neodpovídá za eventuální škodu způsobenou
>>>>>> modifikacemi
>>>>>> > či zpožděním přenosu e-mailu.
>>>>>> >
>>>>>> > V případě, že je tento e-mail součástí obchodního jednání:
>>>>>> > - vyhrazuje si odesílatel právo ukončit kdykoliv jednání o uzavření
>>>>>> > smlouvy, a to z jakéhokoliv důvodu i bez uvedení důvodu.
>>>>>> > - a obsahuje-li nabídku, je adresát oprávněn nabídku bezodkladně
>>>>>> přijmout;
>>>>>> > Odesílatel tohoto e-mailu (nabídky) vylučuje přijetí nabídky ze
>>>>>> strany
>>>>>> > příjemce s dodatkem či odchylkou.
>>>>>> > - trvá odesílatel na tom, že příslušná smlouva je uzavřena teprve
>>>>>> > výslovným dosažením shody na všech jejích náležitostech.
>>>>>> > - odesílatel tohoto emailu informuje, že není oprávněn uzavírat za
>>>>>> > společnost žádné smlouvy s výjimkou případů, kdy k tomu byl písemně
>>>>>> zmocněn
>>>>>> > nebo písemně pověřen a takové pověření nebo plná moc byly
>>>>>> adresátovi tohoto
>>>>>> > emailu případně osobě, kterou adresát zastupuje, předloženy nebo
>>>>>> jejich
>>>>>> > existence je adresátovi či osobě jím zastoupené známá.
>>>>>> >
>>>>>> > This e-mail and any documents attached to it may be confidential
>>>>>> and are
>>>>>> > intended only for its intended recipients.
>>>>>> > If you received this e-mail by mistake, please immediately inform
>>>>>> its
>>>>>> > sender. Delete the contents of this e-mail with all attachments and
>>>>>> its
>>>>>> > copies from your system.
>>>>>> > If you are not the intended recipient of this e-mail, you are not
>>>>>> > authorized to use, disseminate, copy or disclose this e-mail in any
>>>>>> manner.
>>>>>> > The sender of this e-mail shall not be liable for any possible
>>>>>> damage
>>>>>> > caused by modifications of the e-mail or by delay with transfer of
>>>>>> the
>>>>>> > email.
>>>>>> >
>>>>>> > In case that this e-mail forms part of business dealings:
>>>>>> > - the sender reserves the right to end negotiations about entering
>>>>>> into a
>>>>>> > contract in any time, for any reason, and without stating any
>>>>>> reasoning.
>>>>>> > - if the e-mail contains an offer, the recipient is entitled to
>>>>>> > immediately accept such offer; The sender of this e-mail (offer)
>>>>>> excludes
>>>>>> > any acceptance of the offer on the part of the recipient containing
>>>>>> any
>>>>>> > amendment or variation.
>>>>>> > - the sender insists on that the respective contract is concluded
>>>>>> only
>>>>>> > upon an express mutual agreement on all its aspects.
>>>>>> > - the sender of this e-mail informs that he/she is not authorized
>>>>>> to enter
>>>>>> > into any contracts on behalf of the company except for cases in
>>>>>> which
>>>>>> > he/she is expressly authorized to do so in writing, and such
>>>>>> authorization
>>>>>> > or power of attorney is submitted to the recipient or the person
>>>>>> > represented by the recipient, or the existence of such
>>>>>> authorization is
>>>>>> > known to the recipient of the person represented by the recipient.
>>>>>> >
>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> hemantsain.com
>>>>>>
>>>>>> [[alternative HTML version deleted]]
>>>>>>
>>>>>> ______________________________________________
>>>>>> 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
>>>>>> <http://www.r-project.org/posting-guide.html>
>>>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> hemantsain.com
>>>>
>>>
>>>
>>>
>>> --
>>> hemantsain.com
>>>
>>
>
>
> --
> hemantsain.com
>
> On 31 August 2017 at 13:17, Ulrik Stervbo <ulrik.stervbo at gmail.com> wrote:
>
>> Hi Hemant,
>>
>> the solution is really quite similar, and the logic is identical:
>>
>> library(readr)
>> library(dplyr)
>> library(stringr)
>> library(tidyr)
>>
>> data_help <- read_csv("data_help.csv")
>> cat_help <- read_csv("cat_help.csv")
>>
>> # Helper function to split the Items and create a data_frame
>> split_items <- function(items){
>> x <- items$Items_purchased_on_Receipts %>%
>> str_split(pattern = ",") %>%
>> unlist(use.names = FALSE)
>>
>> data_frame(Item = x, Purchase_ID = items$Purchase_ID)
>> }
>>
>> data_help <-
>> data_help %>%
>> mutate(Purchase_ID = 1:n()) %>%
>> group_by(Purchase_ID) %>%
>> do(split_items(.))
>>
>> cat_help %>% gather("Foo", "Item") %>%
>> filter(!is.na(Item)) %>%
>> left_join(data_help, by = "Item") %>%
>> group_by(Foo, Purchase_ID) %>%
>> summarise(Item = paste(Item, collapse = ", ")) %>%
>> spread(key = "Foo", value = "Item")
>>
>> HTH
>> Ulrik
>>
>> On Wed, 30 Aug 2017 at 13:22 Hemant Sain <hemantsain55 at gmail.com> wrote:
>>
>>> by using these two tables we have to create third table in this format
>>> where categories will be on the top and transaction will be in the rows,
>>>
>>> On 30 August 2017 at 16:42, Hemant Sain <hemantsain55 at gmail.com> wrote:
>>>
>>>> Hello Ulrik,
>>>> Can you please once check this code again on the following data set
>>>> because it doesn't giving same output to me due to absence of quantity,a
>>>> compare to previous demo data set becaue spiting is getting done on the
>>>> basis of quantity and in real data set quantity is missing. so please use
>>>> following data set and help me out please consider this mail is my final
>>>> email i won't bother you again but its about my job please help me
>>>> .
>>>>
>>>> Note* the file I'm attaching is very confidential
>>>>
>>>> On 30 August 2017 at 15:02, Ulrik Stervbo <ulrik.stervbo at gmail.com>
>>>> wrote:
>>>>
>>>>> Hi Hemant,
>>>>>
>>>>> Does this help you along?
>>>>>
>>>>> table_1 <- textConnection("Item_1;Item_2;Item_3
>>>>> 1KG banana;300ML milk;1kg sugar
>>>>> 2Large Corona_Beer;2pack Fries;
>>>>> 2 Lux_Soap;1kg sugar;")
>>>>>
>>>>> table_1 <- read.csv(table_1, sep = ";", na.strings = "",
>>>>> stringsAsFactors = FALSE, check.names = FALSE)
>>>>>
>>>>> table_2 <-
>>>>> textConnection("Toiletries;Fruits;Beverages;Snacks;Vegetables;Clothings;Dairy
>>>>> Products
>>>>> Soap;banana;Corona_Beer;King Burger;Pumpkin;Adidas Sport Tshirt XL;milk
>>>>> Shampoo;Mango;Red Label Whisky;Fries;Potato;Nike Shorts Black L;Butter
>>>>> Showergel;Oranges;grey Cocktail;cheese pizza;Tomato;Puma Jersy red
>>>>> M;sugar
>>>>> Lux_Soap;;2 Large corona Beer;;Cheese;Toothpaste")
>>>>>
>>>>> table_2 <- read.csv(table_2, sep = ";", na.strings = "",
>>>>> stringsAsFactors = FALSE, check.names = FALSE)
>>>>>
>>>>> library(tidyr)
>>>>> library(dplyr)
>>>>>
>>>>> table_2 <- gather(table_2, "Category", "Item")
>>>>>
>>>>> table_1 <- gather(table_1, "Foo", "Item") %>%
>>>>> filter(!is.na(Item))
>>>>>
>>>>> table_1 <- separate(table_1, col = "Item", into = c("Quantity",
>>>>> "Item"), sep = " ")
>>>>>
>>>>> table_3 <- left_join(table_1, table_2, by = "Item") %>%
>>>>> mutate(Item = paste(Quantity, Item)) %>%
>>>>> select(-Quantity)
>>>>>
>>>>> table_3 %>%
>>>>> group_by(Foo, Category) %>%
>>>>> summarise(Item = paste(Item, collapse = ", ")) %>%
>>>>> spread(key = "Category", value = "Item")
>>>>>
>>>>> You need to figure out how to handle words written with different
>>>>> cases and how to get the quantity in an universal way. For the code above,
>>>>> I corrected these things by hand in the example data.
>>>>>
>>>>> HTH
>>>>> Ulrik
>>>>>
>>>>> On Wed, 30 Aug 2017 at 10:16 Hemant Sain <hemantsain55 at gmail.com>
>>>>> wrote:
>>>>>
>>>>>> Hey PIKAL,
>>>>>> It's not a homework neithe that is the real dataset i have signer NDA
>>>>>> for
>>>>>> my company so that i can share the original data file, Actually I'm
>>>>>> working
>>>>>> on a market basket analysis task but not able to convert my existing
>>>>>> data
>>>>>> table to appropriate format so that i can apply Apriori algorithm
>>>>>> using R,
>>>>>> and this is very important me to get it done because I'm an intern
>>>>>> and if i
>>>>>> won't get it done they will not going to hire me as a full-time
>>>>>> employee.
>>>>>> i tried everything by myself but not able to get it done.
>>>>>> your precious 10-15 can save my upcoming years. so please if you can
>>>>>> please
>>>>>> help me through this.
>>>>>> i want another dataset based on first two dataset i have mentioned .
>>>>>>
>>>>>> Thanks
>>>>>>
>>>>>> On 30 August 2017 at 12:49, PIKAL Petr <petr.pikal at precheza.cz>
>>>>>> wrote:
>>>>>>
>>>>>> > 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
>>>>>> >
>>>>>> > ________________________________
>>>>>> > Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a
>>>>>> jsou
>>>>>> > určeny pouze jeho adresátům.
>>>>>> > Jestliže jste obdržel(a) tento e-mail omylem, informujte laskavě
>>>>>> > neprodleně jeho odesílatele. Obsah tohoto emailu i s přílohami a
>>>>>> jeho kopie
>>>>>> > vymažte ze svého systému.
>>>>>> > Nejste-li zamýšleným adresátem tohoto emailu, nejste oprávněni
>>>>>> tento email
>>>>>> > jakkoliv užívat, rozšiřovat, kopírovat či zveřejňovat.
>>>>>> > Odesílatel e-mailu neodpovídá za eventuální škodu způsobenou
>>>>>> modifikacemi
>>>>>> > či zpožděním přenosu e-mailu.
>>>>>> >
>>>>>> > V případě, že je tento e-mail součástí obchodního jednání:
>>>>>> > - vyhrazuje si odesílatel právo ukončit kdykoliv jednání o uzavření
>>>>>> > smlouvy, a to z jakéhokoliv důvodu i bez uvedení důvodu.
>>>>>> > - a obsahuje-li nabídku, je adresát oprávněn nabídku bezodkladně
>>>>>> přijmout;
>>>>>> > Odesílatel tohoto e-mailu (nabídky) vylučuje přijetí nabídky ze
>>>>>> strany
>>>>>> > příjemce s dodatkem či odchylkou.
>>>>>> > - trvá odesílatel na tom, že příslušná smlouva je uzavřena teprve
>>>>>> > výslovným dosažením shody na všech jejích náležitostech.
>>>>>> > - odesílatel tohoto emailu informuje, že není oprávněn uzavírat za
>>>>>> > společnost žádné smlouvy s výjimkou případů, kdy k tomu byl písemně
>>>>>> zmocněn
>>>>>> > nebo písemně pověřen a takové pověření nebo plná moc byly
>>>>>> adresátovi tohoto
>>>>>> > emailu případně osobě, kterou adresát zastupuje, předloženy nebo
>>>>>> jejich
>>>>>> > existence je adresátovi či osobě jím zastoupené známá.
>>>>>> >
>>>>>> > This e-mail and any documents attached to it may be confidential
>>>>>> and are
>>>>>> > intended only for its intended recipients.
>>>>>> > If you received this e-mail by mistake, please immediately inform
>>>>>> its
>>>>>> > sender. Delete the contents of this e-mail with all attachments and
>>>>>> its
>>>>>> > copies from your system.
>>>>>> > If you are not the intended recipient of this e-mail, you are not
>>>>>> > authorized to use, disseminate, copy or disclose this e-mail in any
>>>>>> manner.
>>>>>> > The sender of this e-mail shall not be liable for any possible
>>>>>> damage
>>>>>> > caused by modifications of the e-mail or by delay with transfer of
>>>>>> the
>>>>>> > email.
>>>>>> >
>>>>>> > In case that this e-mail forms part of business dealings:
>>>>>> > - the sender reserves the right to end negotiations about entering
>>>>>> into a
>>>>>> > contract in any time, for any reason, and without stating any
>>>>>> reasoning.
>>>>>> > - if the e-mail contains an offer, the recipient is entitled to
>>>>>> > immediately accept such offer; The sender of this e-mail (offer)
>>>>>> excludes
>>>>>> > any acceptance of the offer on the part of the recipient containing
>>>>>> any
>>>>>> > amendment or variation.
>>>>>> > - the sender insists on that the respective contract is concluded
>>>>>> only
>>>>>> > upon an express mutual agreement on all its aspects.
>>>>>> > - the sender of this e-mail informs that he/she is not authorized
>>>>>> to enter
>>>>>> > into any contracts on behalf of the company except for cases in
>>>>>> which
>>>>>> > he/she is expressly authorized to do so in writing, and such
>>>>>> authorization
>>>>>> > or power of attorney is submitted to the recipient or the person
>>>>>> > represented by the recipient, or the existence of such
>>>>>> authorization is
>>>>>> > known to the recipient of the person represented by the recipient.
>>>>>> >
>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> hemantsain.com
>>>>>>
>>>>>> [[alternative HTML version deleted]]
>>>>>>
>>>>>> ______________________________________________
>>>>>> 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.
>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> hemantsain.com
>>>>
>>>
>>>
>>>
>>> --
>>> hemantsain.com
>>>
>>
>
>
> --
> hemantsain.com
>
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