Hi all,
I have a data set need to be summarized by unique ID (count and sum of a
variable)
A unique individual ID (country name Abbreviation followed by an integer
numbers) may have observation in several countries. Then the ID was
changed by adding the country code as a prefix and new ID was constructed
or recorded like (country code, + the original unique ID Example
original ID "CAN1540164" , if this ID has an observation in CANADA
then
the ID was changed to "1CAN1540164". From this new ID I want get
out
the country code get the original unique ID and summarize the data by
unique ID and country code
The data set look like
mydata <- read.table(textConnection("GR ID iflag Y
A 1CAN1540164 1 20
A 1CAN1540164 1 12
A 1CAN1540164 1 15
A 44CAN1540164 1 30
A 44CAN1540164 1 24
A 44CAN1540164 1 25
A 44CAN1540164 1 11
A 33CAN1540164 1 12
A 33CAN1540164 1 23
A 33CAN1540164 1 65
A 33CAN1540164 1 41
A 358CAN1540164 1 28
A 358CAN1540164 1 32
A 358CAN1540164 1 41
A 358CAN1540164 1 54
A 358CAN1540164 1 29
A 358CAN1540164 1 64
B 1USA1540165 1 125
B 1USA1540165 1 165
B 44USA1540165 1 171
B 33USA1540165 1 254
B 33USA1540165 1 241
B 33USA1540165 1 262
B 358USA1540165 1 321
C 358FIN1540166 1 225 "),header = TRUE ,stringsAsFactors = FALSE)
>From the above data there are three unique IDs and four country codes (1,
44, 33 and 358)
I want the following two tables
Table 1. count the unique ID by country code
1 44 33 358 TOT
CAN1540164 3 4 4 6 17
USA1540165 2 1 3 1 7
FIN1540166 - - - 1 1
TOT 5 5 7 8 25
Table 2 Sum of Y variable by unique ID and country. code
1 44 33 358 TOT
CAN1540164 47 90 141 248 526
USA1540165 290 171 757 321 1539
FIN1540166 - - - 225 225
TOT 337 261 898 794 2290
How do I do it in R?
The first step is to get the unique country codes unique ID by splitting
the new ID
Thank you in advance
[[alternative HTML version deleted]]
Hello,
Thanks for the reproducible example.
See if the following does what you want.
IDNum <- sub("^(\\d+).*", "\\1", mydata$ID)
Country <- sub("^\\d+(.*)", "\\1", mydata$ID)
tbl1 <- table(Country, IDNum)
addmargins(tbl1)
tbl2 <- xtabs(Y ~ Country + IDNum, mydata)
addmargins(tbl2)
Hope this helps,
Rui Barradas
On 2/3/2018 3:00 AM, Val wrote:> Hi all,
>
> I have a data set need to be summarized by unique ID (count and sum of a
> variable)
> A unique individual ID (country name Abbreviation followed by an integer
> numbers) may have observation in several countries. Then the ID was
> changed by adding the country code as a prefix and new ID was constructed
> or recorded like (country code, + the original unique ID Example
> original ID "CAN1540164" , if this ID has an observation in
CANADA then
> the ID was changed to "1CAN1540164". From this new ID I want
get out
> the country code get the original unique ID and summarize the data by
> unique ID and country code
>
> The data set look like
> mydata <- read.table(textConnection("GR ID iflag Y
> A 1CAN1540164 1 20
> A 1CAN1540164 1 12
> A 1CAN1540164 1 15
> A 44CAN1540164 1 30
> A 44CAN1540164 1 24
> A 44CAN1540164 1 25
> A 44CAN1540164 1 11
> A 33CAN1540164 1 12
> A 33CAN1540164 1 23
> A 33CAN1540164 1 65
> A 33CAN1540164 1 41
> A 358CAN1540164 1 28
> A 358CAN1540164 1 32
> A 358CAN1540164 1 41
> A 358CAN1540164 1 54
> A 358CAN1540164 1 29
> A 358CAN1540164 1 64
> B 1USA1540165 1 125
> B 1USA1540165 1 165
> B 44USA1540165 1 171
> B 33USA1540165 1 254
> B 33USA1540165 1 241
> B 33USA1540165 1 262
> B 358USA1540165 1 321
> C 358FIN1540166 1 225 "),header = TRUE ,stringsAsFactors = FALSE)
>
> From the above data there are three unique IDs and four country codes (1,
> 44, 33 and 358)
>
> I want the following two tables
>
> Table 1. count the unique ID by country code
> 1 44 33 358 TOT
> CAN1540164 3 4 4 6 17
> USA1540165 2 1 3 1 7
> FIN1540166 - - - 1 1
> TOT 5 5 7 8 25
>
>
> Table 2 Sum of Y variable by unique ID and country. code
>
> 1 44 33 358 TOT
> CAN1540164 47 90 141 248 526
> USA1540165 290 171 757 321 1539
> FIN1540166 - - - 225 225
> TOT 337 261 898 794 2290
>
>
> How do I do it in R?
>
> The first step is to get the unique country codes unique ID by splitting
> the new ID
>
> Thank you in advance
>
> [[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.
>
Thank you so much Rui.
1. How do I export this table to excel file?
I used this
tbl1 <- table(Country, IDNum)
tbl2=addmargins(tbl1)
write.xlsx(tbl2,"tt1.xlsx"),sheetName="summary",
row.names=FALSE)
The above did not give me that table.
2. I want select those unique Ids that do have records in all countries.
From the above data set, this ID "FIN1540166" should be excluded
from
the summary table and the table looks like as follow
IDNum
Country 1 33 358 44 Sum
CAN1540164 47 141 248 90 526
USA1540165 290 757 321 171 1539
Sum 337 898 569 261 2065
Thank you again
On Fri, Feb 2, 2018 at 11:26 PM, Rui Barradas <ruipbarradas at sapo.pt>
wrote:
> Hello,
>
> Thanks for the reproducible example.
> See if the following does what you want.
>
> IDNum <- sub("^(\\d+).*", "\\1", mydata$ID)
> Country <- sub("^\\d+(.*)", "\\1", mydata$ID)
>
> tbl1 <- table(Country, IDNum)
> addmargins(tbl1)
>
> tbl2 <- xtabs(Y ~ Country + IDNum, mydata)
> addmargins(tbl2)
>
>
> Hope this helps,
>
> Rui Barradas
>
>
> On 2/3/2018 3:00 AM, Val wrote:
>
>> Hi all,
>>
>> I have a data set need to be summarized by unique ID (count and sum of
a
>> variable)
>> A unique individual ID (country name Abbreviation followed by an
integer
>> numbers) may have observation in several countries. Then the ID was
>> changed by adding the country code as a prefix and new ID was
>> constructed
>> or recorded like (country code, + the original unique ID Example
>> original ID "CAN1540164" , if this ID has an observation in
CANADA then
>> the ID was changed to "1CAN1540164". From this new ID I
want get out
>> the country code get the original unique ID and summarize the data
by
>> unique ID and country code
>>
>> The data set look like
>> mydata <- read.table(textConnection("GR ID iflag Y
>> A 1CAN1540164 1 20
>> A 1CAN1540164 1 12
>> A 1CAN1540164 1 15
>> A 44CAN1540164 1 30
>> A 44CAN1540164 1 24
>> A 44CAN1540164 1 25
>> A 44CAN1540164 1 11
>> A 33CAN1540164 1 12
>> A 33CAN1540164 1 23
>> A 33CAN1540164 1 65
>> A 33CAN1540164 1 41
>> A 358CAN1540164 1 28
>> A 358CAN1540164 1 32
>> A 358CAN1540164 1 41
>> A 358CAN1540164 1 54
>> A 358CAN1540164 1 29
>> A 358CAN1540164 1 64
>> B 1USA1540165 1 125
>> B 1USA1540165 1 165
>> B 44USA1540165 1 171
>> B 33USA1540165 1 254
>> B 33USA1540165 1 241
>> B 33USA1540165 1 262
>> B 358USA1540165 1 321
>> C 358FIN1540166 1 225 "),header = TRUE ,stringsAsFactors = FALSE)
>>
>> From the above data there are three unique IDs and four country codes
>> (1,
>> 44, 33 and 358)
>>
>> I want the following two tables
>>
>> Table 1. count the unique ID by country code
>> 1 44 33 358 TOT
>> CAN1540164 3 4 4 6 17
>> USA1540165 2 1 3 1 7
>> FIN1540166 - - - 1 1
>> TOT 5 5 7 8 25
>>
>>
>> Table 2 Sum of Y variable by unique ID and country. code
>>
>> 1 44 33 358 TOT
>> CAN1540164 47 90 141 248 526
>> USA1540165 290 171 757 321 1539
>> FIN1540166 - - - 225 225
>> TOT 337 261 898 794 2290
>>
>>
>> How do I do it in R?
>>
>> The first step is to get the unique country codes unique ID by
splitting
>> the new ID
>>
>> Thank you in advance
>>
>> [[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.
>>
>>
[[alternative HTML version deleted]]