Dear Eric, Hope you are doing great. I also tried the following: #First I created the complete date sequence TransitDateFrame <- data.frame(TransitDate=seq(as.Date(dataset1[1,1]), as.Date(dataset1[nrow(dataset1),1]), by = "month")) #Then I did the merging dataset1NEW <- merge(TransitDateFrame, dataset1, by="TransitDate", all.x=TRUE) Now it has, as expected the total number of rows. The problem is, it filled absolutely everything with NAs, and this shouldn?t be the case since there are dates that actually have data. why is this happening? I am attaching the dataset1 table as a .csv document for your reference. Basically what I want is to bring all the values in dataset1 and only add the dates missing with value 0. Best regards, Paul 2017-11-01 15:21 GMT-05:00 Eric Berger <ericjberger at gmail.com>:> Hi Paul, > > #First I set up some sample data since I don't have a copy of your data > dtOrig <- as.Date( c("1985-04-01","1985-07-01","1985-12-01","1986-04-01")) > dfOrig <- data.frame( TransitDate=dtOrig, Transits=c(100,100,500,325), > CargoTons=c(1000,1080,3785,4200) ) > > #Generate the complete set of dates as a data frame > dfDates<- data.frame( TransitDate=seq(from=as.Date("1985-04-01"),by="1 > month",length=13) ) > > # do the merge adding the "missing" rows (where NA will appear) > dfNew <- merge(dfDates, dfOrig, by="TransitDate", all.x=TRUE ) > > # replace the NA's by zero > dfNew[is.na(dfNew)] <- 0 > > HTH, > Eric > > > On Wed, Nov 1, 2017 at 9:45 PM, Paul Bernal <paulbernal07 at gmail.com> > wrote: > >> Dear R friends, >> >> I am currently working with time series data, and I have a table(as data >> frame) that has looks like this (TransitDate are in format = "%e-%B-%Y") : >> >> TransitDate Transits CargoTons >> 1985-04-01 100 2500 >> 1985-05-01 135 4500 >> 1985-06-01 120 1750 >> 1985-07-01 100 3750 >> 1985-08-01 200 1250 >> >> The problem is, that there are several periods that don?t exist in the >> table, so it has the following behavior: >> >> TransitDate Transits CargoTons >> 1985-04-01 100 1000 >> 1985-07-01 100 1080 >> 1985-12-01 500 3785 >> 1986-04-01 325 4200 >> . >> . >> 2017-09-01 400 2350 (*this is the last observation) >> >> You can see in the last table fragment that the series jumps from >> 1985-04-01 to 1985-07-01, then it jumps from there to 1985-12-01 making >> the >> time series quite irregular (non-constant chronologically speaking). >> >> What I want to do is create a dummy table that has the sequence from the >> first observation (1985-04-01) up to the last one (2017-09-01) and then >> develop a code that checks if the dates contained in the dummy table exist >> in the original table, if they don?t exist then add those dates and put >> zeroes on the fields. >> >> How can I achieve this? >> >> Any help will be greatly appreciated, >> >> Best regards, >> >> Paul >> >> [[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/posti >> ng-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > >
Hi Instead of attachments copy directly result of dput(TransitDateFrame) and dput(dataset1) to your email. Or, if your data have more than about 20 rows you could copy only part of it. dput(TransitDateFrame[,1:20]) dput(dataset1[,1:20]) Only with this approach we can evaluate your data in all aspects and provide correct answer. Cheers Petr> -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Paul Bernal > Sent: Wednesday, November 8, 2017 2:46 PM > To: Eric Berger <ericjberger at gmail.com> > Cc: r-help at r-project.org > Subject: Re: [R] Adding Records to a Table in R > > Dear Eric, > > Hope you are doing great. I also tried the following: > > #First I created the complete date sequence > > TransitDateFrame <- data.frame(TransitDate=seq(as.Date(dataset1[1,1]), > as.Date(dataset1[nrow(dataset1),1]), by = "month")) > > #Then I did the merging > > dataset1NEW <- merge(TransitDateFrame, dataset1, by="TransitDate", > all.x=TRUE) > > Now it has, as expected the total number of rows. The problem is, it filled > absolutely everything with NAs, and this shouldn?t be the case since there are > dates that actually have data. > > why is this happening? > > I am attaching the dataset1 table as a .csv document for your reference. > Basically what I want is to bring all the values in dataset1 and only add the > dates missing with value 0. > > Best regards, > > Paul > > 2017-11-01 15:21 GMT-05:00 Eric Berger <ericjberger at gmail.com>: > > > Hi Paul, > > > > #First I set up some sample data since I don't have a copy of your > > data dtOrig <- as.Date( > > c("1985-04-01","1985-07-01","1985-12-01","1986-04-01")) > > dfOrig <- data.frame( TransitDate=dtOrig, Transits=c(100,100,500,325), > > CargoTons=c(1000,1080,3785,4200) ) > > > > #Generate the complete set of dates as a data frame > > dfDates<- data.frame( TransitDate=seq(from=as.Date("1985-04-01"),by="1 > > month",length=13) ) > > > > # do the merge adding the "missing" rows (where NA will appear) dfNew > > <- merge(dfDates, dfOrig, by="TransitDate", all.x=TRUE ) > > > > # replace the NA's by zero > > dfNew[is.na(dfNew)] <- 0 > > > > HTH, > > Eric > > > > > > On Wed, Nov 1, 2017 at 9:45 PM, Paul Bernal <paulbernal07 at gmail.com> > > wrote: > > > >> Dear R friends, > >> > >> I am currently working with time series data, and I have a table(as > >> data > >> frame) that has looks like this (TransitDate are in format = "%e-%B-%Y") : > >> > >> TransitDate Transits CargoTons > >> 1985-04-01 100 2500 > >> 1985-05-01 135 4500 > >> 1985-06-01 120 1750 > >> 1985-07-01 100 3750 > >> 1985-08-01 200 1250 > >> > >> The problem is, that there are several periods that don?t exist in > >> the table, so it has the following behavior: > >> > >> TransitDate Transits CargoTons > >> 1985-04-01 100 1000 > >> 1985-07-01 100 1080 > >> 1985-12-01 500 3785 > >> 1986-04-01 325 4200 > >> . > >> . > >> 2017-09-01 400 2350 (*this is the last observation) > >> > >> You can see in the last table fragment that the series jumps from > >> 1985-04-01 to 1985-07-01, then it jumps from there to 1985-12-01 > >> making the time series quite irregular (non-constant chronologically > >> speaking). > >> > >> What I want to do is create a dummy table that has the sequence from > >> the first observation (1985-04-01) up to the last one (2017-09-01) > >> and then develop a code that checks if the dates contained in the > >> dummy table exist in the original table, if they don?t exist then add > >> those dates and put zeroes on the fields. > >> > >> How can I achieve this? > >> > >> Any help will be greatly appreciated, > >> > >> Best regards, > >> > >> Paul > >> > >> [[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/posti > >> ng-guide.html and provide commented, minimal, self-contained, > >> reproducible code. > > > > > > > ______________________________________________ > 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.________________________________ Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou d?v?rn? a jsou ur?eny pouze jeho adres?t?m. Jestli?e jste obdr?el(a) tento e-mail omylem, informujte laskav? neprodlen? jeho odes?latele. Obsah tohoto emailu i s p??lohami a jeho kopie vyma?te ze sv?ho syst?mu. Nejste-li zam??len?m adres?tem tohoto emailu, nejste opr?vn?ni tento email jakkoliv u??vat, roz?i?ovat, kop?rovat ?i zve?ej?ovat. Odes?latel e-mailu neodpov?d? za eventu?ln? ?kodu zp?sobenou modifikacemi ?i zpo?d?n?m p?enosu e-mailu. V p??pad?, ?e je tento e-mail sou??st? obchodn?ho jedn?n?: - vyhrazuje si odes?latel pr?vo ukon?it kdykoliv jedn?n? o uzav?en? smlouvy, a to z jak?hokoliv d?vodu i bez uveden? d?vodu. - a obsahuje-li nab?dku, je adres?t opr?vn?n nab?dku bezodkladn? p?ijmout; Odes?latel tohoto e-mailu (nab?dky) vylu?uje p?ijet? nab?dky ze strany p??jemce s dodatkem ?i odchylkou. - trv? odes?latel na tom, ?e p??slu?n? smlouva je uzav?ena teprve v?slovn?m dosa?en?m shody na v?ech jej?ch n?le?itostech. - odes?latel tohoto emailu informuje, ?e nen? opr?vn?n uzav?rat za spole?nost ??dn? smlouvy s v?jimkou p??pad?, kdy k tomu byl p?semn? zmocn?n nebo p?semn? pov??en a takov? pov??en? nebo pln? moc byly adres?tovi tohoto emailu p??padn? osob?, kterou adres?t zastupuje, p?edlo?eny nebo jejich existence je adres?tovi ?i osob? j?m zastoupen? zn?m?. 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.
Sorry, I was too quick Should be dput(TransitDateFrame[1:20,]) dput(dataset1[1:20, ]) Cheers Petr> Hi > > Instead of attachments copy directly result of dput(TransitDateFrame) and > dput(dataset1) to your email. Or, if your data have more than about 20 rows > you could copy only part of it. > > dput(TransitDateFrame[,1:20]) > dput(dataset1[,1:20])> > Only with this approach we can evaluate your data in all aspects and provide > correct answer. > > Cheers > Petr > > > -----Original Message----- > > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Paul > > Bernal > > Sent: Wednesday, November 8, 2017 2:46 PM > > To: Eric Berger <ericjberger at gmail.com> > > Cc: r-help at r-project.org > > Subject: Re: [R] Adding Records to a Table in R > > > > Dear Eric, > > > > Hope you are doing great. I also tried the following: > > > > #First I created the complete date sequence > > > > TransitDateFrame <- data.frame(TransitDate=seq(as.Date(dataset1[1,1]), > > as.Date(dataset1[nrow(dataset1),1]), by = "month")) > > > > #Then I did the merging > > > > dataset1NEW <- merge(TransitDateFrame, dataset1, by="TransitDate", > > all.x=TRUE) > > > > Now it has, as expected the total number of rows. The problem is, it > > filled absolutely everything with NAs, and this shouldn?t be the case > > since there are dates that actually have data. > > > > why is this happening? > > > > I am attaching the dataset1 table as a .csv document for your reference. > > Basically what I want is to bring all the values in dataset1 and only > > add the dates missing with value 0. > > > > Best regards, > > > > Paul > > > > 2017-11-01 15:21 GMT-05:00 Eric Berger <ericjberger at gmail.com>: > > > > > Hi Paul, > > > > > > #First I set up some sample data since I don't have a copy of your > > > data dtOrig <- as.Date( > > > c("1985-04-01","1985-07-01","1985-12-01","1986-04-01")) > > > dfOrig <- data.frame( TransitDate=dtOrig, > > > Transits=c(100,100,500,325), > > > CargoTons=c(1000,1080,3785,4200) ) > > > > > > #Generate the complete set of dates as a data frame > > > dfDates<- data.frame( > > > TransitDate=seq(from=as.Date("1985-04-01"),by="1 > > > month",length=13) ) > > > > > > # do the merge adding the "missing" rows (where NA will appear) > > > dfNew > > > <- merge(dfDates, dfOrig, by="TransitDate", all.x=TRUE ) > > > > > > # replace the NA's by zero > > > dfNew[is.na(dfNew)] <- 0 > > > > > > HTH, > > > Eric > > > > > > > > > On Wed, Nov 1, 2017 at 9:45 PM, Paul Bernal <paulbernal07 at gmail.com> > > > wrote: > > > > > >> Dear R friends, > > >> > > >> I am currently working with time series data, and I have a table(as > > >> data > > >> frame) that has looks like this (TransitDate are in format = "%e-%B-%Y") : > > >> > > >> TransitDate Transits CargoTons > > >> 1985-04-01 100 2500 > > >> 1985-05-01 135 4500 > > >> 1985-06-01 120 1750 > > >> 1985-07-01 100 3750 > > >> 1985-08-01 200 1250 > > >> > > >> The problem is, that there are several periods that don?t exist in > > >> the table, so it has the following behavior: > > >> > > >> TransitDate Transits CargoTons > > >> 1985-04-01 100 1000 > > >> 1985-07-01 100 1080 > > >> 1985-12-01 500 3785 > > >> 1986-04-01 325 4200 > > >> . > > >> . > > >> 2017-09-01 400 2350 (*this is the last observation) > > >> > > >> You can see in the last table fragment that the series jumps from > > >> 1985-04-01 to 1985-07-01, then it jumps from there to 1985-12-01 > > >> making the time series quite irregular (non-constant > > >> chronologically speaking). > > >> > > >> What I want to do is create a dummy table that has the sequence > > >> from the first observation (1985-04-01) up to the last one > > >> (2017-09-01) and then develop a code that checks if the dates > > >> contained in the dummy table exist in the original table, if they > > >> don?t exist then add those dates and put zeroes on the fields. > > >> > > >> How can I achieve this? > > >> > > >> Any help will be greatly appreciated, > > >> > > >> Best regards, > > >> > > >> Paul > > >>________________________________ Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou d?v?rn? a jsou ur?eny pouze jeho adres?t?m. Jestli?e jste obdr?el(a) tento e-mail omylem, informujte laskav? neprodlen? jeho odes?latele. Obsah tohoto emailu i s p??lohami a jeho kopie vyma?te ze sv?ho syst?mu. Nejste-li zam??len?m adres?tem tohoto emailu, nejste opr?vn?ni tento email jakkoliv u??vat, roz?i?ovat, kop?rovat ?i zve?ej?ovat. Odes?latel e-mailu neodpov?d? za eventu?ln? ?kodu zp?sobenou modifikacemi ?i zpo?d?n?m p?enosu e-mailu. V p??pad?, ?e je tento e-mail sou??st? obchodn?ho jedn?n?: - vyhrazuje si odes?latel pr?vo ukon?it kdykoliv jedn?n? o uzav?en? smlouvy, a to z jak?hokoliv d?vodu i bez uveden? d?vodu. - a obsahuje-li nab?dku, je adres?t opr?vn?n nab?dku bezodkladn? p?ijmout; Odes?latel tohoto e-mailu (nab?dky) vylu?uje p?ijet? nab?dky ze strany p??jemce s dodatkem ?i odchylkou. - trv? odes?latel na tom, ?e p??slu?n? smlouva je uzav?ena teprve v?slovn?m dosa?en?m shody na v?ech jej?ch n?le?itostech. - odes?latel tohoto emailu informuje, ?e nen? opr?vn?n uzav?rat za spole?nost ??dn? smlouvy s v?jimkou p??pad?, kdy k tomu byl p?semn? zmocn?n nebo p?semn? pov??en a takov? pov??en? nebo pln? moc byly adres?tovi tohoto emailu p??padn? osob?, kterou adres?t zastupuje, p?edlo?eny nebo jejich existence je adres?tovi ?i osob? j?m zastoupen? zn?m?. 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.
Hi Paul,
The following worked for me:
library(lubridate)
dataset1 <- read.csv("dataset1.csv",stringsAsFactors=FALSE)
dataset1$TransitDate <- mdy(dataset1$TransitDate)
TransitDateFrame <-
data.frame(TransitDate=seq(as.Date("1985-10-01"),
as.Date("2017-10-01"), by = "month"))
dataset1NEW <- merge(TransitDateFrame, dataset1, by="TransitDate",
all.x=TRUE)
HTH,
Eric
On Wed, Nov 8, 2017 at 4:32 PM, PIKAL Petr <petr.pikal at precheza.cz>
wrote:
> Hi
>
> Instead of attachments copy directly result of dput(TransitDateFrame) and
> dput(dataset1) to your email. Or, if your data have more than about 20 rows
> you could copy only part of it.
>
> dput(TransitDateFrame[,1:20])
> dput(dataset1[,1:20])
>
> Only with this approach we can evaluate your data in all aspects and
> provide correct answer.
>
> Cheers
> Petr
>
> > -----Original Message-----
> > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of
Paul
> Bernal
> > Sent: Wednesday, November 8, 2017 2:46 PM
> > To: Eric Berger <ericjberger at gmail.com>
> > Cc: r-help at r-project.org
> > Subject: Re: [R] Adding Records to a Table in R
> >
> > Dear Eric,
> >
> > Hope you are doing great. I also tried the following:
> >
> > #First I created the complete date sequence
> >
> > TransitDateFrame <-
data.frame(TransitDate=seq(as.Date(dataset1[1,1]),
> > as.Date(dataset1[nrow(dataset1),1]), by = "month"))
> >
> > #Then I did the merging
> >
> > dataset1NEW <- merge(TransitDateFrame, dataset1,
by="TransitDate",
> > all.x=TRUE)
> >
> > Now it has, as expected the total number of rows. The problem is, it
> filled
> > absolutely everything with NAs, and this shouldn?t be the case since
> there are
> > dates that actually have data.
> >
> > why is this happening?
> >
> > I am attaching the dataset1 table as a .csv document for your
reference.
> > Basically what I want is to bring all the values in dataset1 and only
> add the
> > dates missing with value 0.
> >
> > Best regards,
> >
> > Paul
> >
> > 2017-11-01 15:21 GMT-05:00 Eric Berger <ericjberger at
gmail.com>:
> >
> > > Hi Paul,
> > >
> > > #First I set up some sample data since I don't have a copy of
your
> > > data dtOrig <- as.Date(
> > >
c("1985-04-01","1985-07-01","1985-12-01","1986-04-01"))
> > > dfOrig <- data.frame( TransitDate=dtOrig,
Transits=c(100,100,500,325),
> > > CargoTons=c(1000,1080,3785,4200) )
> > >
> > > #Generate the complete set of dates as a data frame
> > > dfDates<- data.frame(
TransitDate=seq(from=as.Date("1985-04-01"),by="1
> > > month",length=13) )
> > >
> > > # do the merge adding the "missing" rows (where NA will
appear) dfNew
> > > <- merge(dfDates, dfOrig, by="TransitDate",
all.x=TRUE )
> > >
> > > # replace the NA's by zero
> > > dfNew[is.na(dfNew)] <- 0
> > >
> > > HTH,
> > > Eric
> > >
> > >
> > > On Wed, Nov 1, 2017 at 9:45 PM, Paul Bernal <paulbernal07 at
gmail.com>
> > > wrote:
> > >
> > >> Dear R friends,
> > >>
> > >> I am currently working with time series data, and I have a
table(as
> > >> data
> > >> frame) that has looks like this (TransitDate are in format
> "%e-%B-%Y") :
> > >>
> > >> TransitDate Transits CargoTons
> > >> 1985-04-01 100 2500
> > >> 1985-05-01 135 4500
> > >> 1985-06-01 120 1750
> > >> 1985-07-01 100 3750
> > >> 1985-08-01 200 1250
> > >>
> > >> The problem is, that there are several periods that don?t
exist in
> > >> the table, so it has the following behavior:
> > >>
> > >> TransitDate Transits CargoTons
> > >> 1985-04-01 100 1000
> > >> 1985-07-01 100 1080
> > >> 1985-12-01 500 3785
> > >> 1986-04-01 325 4200
> > >> .
> > >> .
> > >> 2017-09-01 400 2350 (*this is the last
observation)
> > >>
> > >> You can see in the last table fragment that the series jumps
from
> > >> 1985-04-01 to 1985-07-01, then it jumps from there to
1985-12-01
> > >> making the time series quite irregular (non-constant
chronologically
> > >> speaking).
> > >>
> > >> What I want to do is create a dummy table that has the
sequence from
> > >> the first observation (1985-04-01) up to the last one
(2017-09-01)
> > >> and then develop a code that checks if the dates contained in
the
> > >> dummy table exist in the original table, if they don?t exist
then add
> > >> those dates and put zeroes on the fields.
> > >>
> > >> How can I achieve this?
> > >>
> > >> Any help will be greatly appreciated,
> > >>
> > >> Best regards,
> > >>
> > >> Paul
> > >>
> > >> [[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/posti
> > >> ng-guide.html and provide commented, minimal, self-contained,
> > >> reproducible code.
> > >
> > >
> > >
> > ______________________________________________
> > 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.
>
> ________________________________
> Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou d?v?rn? a jsou
> ur?eny pouze jeho adres?t?m.
> Jestli?e jste obdr?el(a) tento e-mail omylem, informujte laskav?
> neprodlen? jeho odes?latele. Obsah tohoto emailu i s p??lohami a jeho kopie
> vyma?te ze sv?ho syst?mu.
> Nejste-li zam??len?m adres?tem tohoto emailu, nejste opr?vn?ni tento email
> jakkoliv u??vat, roz?i?ovat, kop?rovat ?i zve?ej?ovat.
> Odes?latel e-mailu neodpov?d? za eventu?ln? ?kodu zp?sobenou modifikacemi
> ?i zpo?d?n?m p?enosu e-mailu.
>
> V p??pad?, ?e je tento e-mail sou??st? obchodn?ho jedn?n?:
> - vyhrazuje si odes?latel pr?vo ukon?it kdykoliv jedn?n? o uzav?en?
> smlouvy, a to z jak?hokoliv d?vodu i bez uveden? d?vodu.
> - a obsahuje-li nab?dku, je adres?t opr?vn?n nab?dku bezodkladn? p?ijmout;
> Odes?latel tohoto e-mailu (nab?dky) vylu?uje p?ijet? nab?dky ze strany
> p??jemce s dodatkem ?i odchylkou.
> - trv? odes?latel na tom, ?e p??slu?n? smlouva je uzav?ena teprve
> v?slovn?m dosa?en?m shody na v?ech jej?ch n?le?itostech.
> - odes?latel tohoto emailu informuje, ?e nen? opr?vn?n uzav?rat za
> spole?nost ??dn? smlouvy s v?jimkou p??pad?, kdy k tomu byl p?semn? zmocn?n
> nebo p?semn? pov??en a takov? pov??en? nebo pln? moc byly adres?tovi tohoto
> emailu p??padn? osob?, kterou adres?t zastupuje, p?edlo?eny nebo jejich
> existence je adres?tovi ?i osob? j?m zastoupen? zn?m?.
>
> 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.
> ______________________________________________
> 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.
>
[[alternative HTML version deleted]]