Re: [R] Stratified Random Sampling Proportional to Size

[Lopez, Dan]

Hi Jeff,
a & b) points taken. Thanks for the reference too.
c) taking the zero's out did the trick.

Dan

-Original Message-
From: Jeff Newmiller [mailto:jdnew...@dcn.davis.ca.us] 
Sent: Sunday, April 28, 2013 12:15 AM
To: Lopez, Dan
Cc: R help (r-help@r-project.org)
Subject: Re: [R] Stratified Random Sampling Proportional to Size

a) Please post plain text

b) Please make reproducible examples (e.g. telling us how you accessed a 
database that we have no access to is not helpful). See ?head, ?dput and [1]

c) I don't know anything about the sampling package or the strata function, but 
I would recommend eliminating the rows that have zeros from the input data. 
E.g.:

stratum_cp <- stratum_cp[ 0http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example

On Fri, 26 Apr 2013, Lopez, Dan wrote:

> Hello R Experts,
>
> I kindly request your assistance on figuring out how to get a 
> stratified random sampling proportional to 100.
>
> Below is my r code showing what I did and the error I'm getting with 
> sampling::strata
>
> # FIRST I summarized count of records by the two variables I want to 
> use as strata
>
> Library(RODBC)
> library(sqldf)
> library(sampling)
> #After establishing connection I query the data and sort it by strata 
> APPT_TYP_CD_LL and EMPL_TYPE and store it in a dataframe 
> CURRPOP<-sqlQuery(ch,"SELECT APPT_TYP_CD_LL, 
> EMPL_TYPE,ASOFDATE,EMPLID,NAME,DEPTID,JOBCODE,JOBTITLE,SAL_ADMIN_PLAN,
> RET_TYP_CD_LL FROM PS_EMPLOYEES_LL WHERE EMPL_STATUS NOT IN('R','T') 
> ORDER BY APPT_TYP_CD_LL, EMPL_TYPE") #ROWID is a dummy ID I added and 
> repositioned after the strat columns for later use
> CURRPOP$ROWID<-seq(nrow(CURRPOP))
> CURRPOP<-CURRPOP[,c(1:2,11,3:10)]
>
> # My strata.  Stratp is how many I want to sampled from each strata. NOTE 
> THERE ARE SOME 0's which just means I won't sample from that group.
> stratum_cp<-sqldf("SELECT APPT_TYP_CD_LL,EMPL_TYPE, count(*) HC FROM 
> CURRPOP GROUP BY APPT_TYP_CD_LL,EMPL_TYPE")
> stratum_cp$stratp<-round(stratum_cp$HC/nrow(CURRPOP)*100)
>
>> stratum_cp
>   APPT_TYP_CD_LL EMPL_TYPE   HC stratp
> 1  FA S1  0
> 2  FC S5  0
> 3  FP S  173  3
> 4  FR H  170  3
> 5  FX H   49  1
> 6  FX S   57  1
> 7  IN H 1589 25
> 8  IN S 3987 63
> 9  IP H7  0
> 10 IP S   53  1
> 11 SA H8  0
> 12 SE S   43  1
> 13 SF H   14  0
> 14 SF S1  0
> 15 SG S   10  0
> 16 ST H  107  2
> 17 ST S6  0
>
> #THEN I attempted to use sampling::strata using the instructions in 
> that package and got an error
>
>
> #I use stratum_cp$stratp for my sizes.
>
>
>
>> s<-strata(CURRPOP,c("APPT_TYP_CD_LL","EMPL_TYPE"),size=stratum_cp$str
>> atp,method="srswor")
>
> Error in data.frame(..., check.names = FALSE) :
>
>  arguments imply differing number of rows: 0, 1
>
>> traceback()
>
> 5: stop("arguments imply differing number of rows: ", 
> paste(unique(nrows),
>
>   collapse = ", "))
>
> 4: data.frame(..., check.names = FALSE)
>
> 3: cbind(deparse.level, ...)
>
> 2: cbind(r, i)
>
> 1: strata(CURRPOP, c("APPT_TYP_CD_LL", "EMPL_TYPE"), size = 
> stratum_cp$stratp,
>
>   method = "srswor")
>
>
>
> #In lieu of a reproducible sample here is some info regarding most of 
> my data
> dim(CURRPOP)
> [1] 6280   11
> #Cols w/ personal info have been removed in this output
>
>> str(CURRPOP[,c(1:3,7:11)])
>
> 'data.frame':  6280 obs. of  8 variables:
>
> $ APPT_TYP_CD_LL: Factor w/ 12 levels "FA","FC","FP",..: 1 2 2 2 2 2 3 3 3 3 
> ...
>
> $ EMPL_TYPE : Factor w/ 2 levels "H","S": 2 2 2 2 2 2 2 2 2 2 ...
>
> $ ROWID : int  1 2 3 4 5 6 7 8 9 10 ...
>
> $ DEPTID: int  9825 9613 9613 9852 9772 9852 9853 9853 9853 9854 ...
>
> $ JOBCODE   : Factor w/ 325 levels "055.2","055.3",..: 311 112 112 112 
> 112 112 298 299 299 300 ...
>
> $ JOBTITLE  : Factor w/ 325 levels "Accounting Assistant",..: 227 192 192 
> 192 192 192 190 191 191 153 ...
>
> $ SAL_ADMIN_PLAN: Factor w/ 40 levels "ADE","AME",&quo

Re: [R] Stratified Random Sampling Proportional to Size

[William Dunlap]

This problem in sampling::strata() comes from calling cbind on a zero-row 
data.frame
with a scalar number.

  > library(sampling)
  > strata(mtcars[,c("mpg","hp","gear")], strat="gear", size=c(5,5,0))
  Error in data.frame(..., check.names = FALSE) :
arguments imply differing number of rows: 0, 1
  In addition: Warning message:
  In strata(mtcars[, c("mpg", "hp", "gear")], strat = "gear", size = c(5,  :
the method is not specified; by default, the method is srswor
  > traceback()
  5: stop("arguments imply differing number of rows: ", paste(unique(nrows),
 collapse = ", "))
  4: data.frame(..., check.names = FALSE)
  3: cbind(deparse.level, ...)
  2: cbind(r, i)
  1: strata(mtcars[, c("mpg", "hp", "gear")], strat = "gear", size = c(5,
 5, 0))

Changing that cbind call from cbind(r, i) to cbind(r, rep(i, 
length.out=nrow(r)))
would fix it up.

cbind is not entirely consistent with what it does with a 0-row rectangular 
input
and a scalar.

With a matrix you get a 0-row result and a warning
  > m <- matrix(numeric(), nrow=0, ncol=3, 
dimnames=list(NULL,paste0("Col",1:3)))
  > str(cbind(m, 666))
   num[0 , 1:4] 
   - attr(*, "dimnames")=List of 2
..$ : NULL
..$ : chr [1:4] "Col1" "Col2" "Col3" ""
  Warning message:
  In cbind(m, 666) :
number of rows of result is not a multiple of vector length (arg 2)

With a data.frame you get an error
  > str(cbind(data.frame(m), 666))
  Error in data.frame(..., check.names = FALSE) : 
arguments imply differing number of rows: 0, 1

Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com


> -Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On 
> Behalf
> Of Thomas Lumley
> Sent: Sunday, April 28, 2013 1:31 PM
> To: Jeff Newmiller
> Cc: R help (r-help@r-project.org)
> Subject: Re: [R] Stratified Random Sampling Proportional to Size
> 
> It looks as though you can't sample zero observations from a stratum.  If
> you take the example on the help page and change one of the sample sizes to
> zero you get exactly the same error.
> 
> >From the fact that there isn't a more explicit error message, I would guess
> that the author just never considered the possibility that someone would
> have a population stratum and not sample from it.
> 
> -thomas
> 
> 
> On Sun, Apr 28, 2013 at 7:14 PM, Jeff Newmiller 
> wrote:
> 
> > a) Please post plain text
> >
> > b) Please make reproducible examples (e.g. telling us how you accessed a
> > database that we have no access to is not helpful). See ?head, ?dput and [1]
> >
> > c) I don't know anything about the sampling package or the strata
> > function, but I would recommend eliminating the rows that have zeros from
> > the input data. E.g.:
> >
> > stratum_cp <- stratum_cp[ 0 >
> > [1] http://stackoverflow.com/**questions/5963269/how-to-make-**
> > a-great-r-reproducible-example<http://stackoverflow.com/questions/5963269/how-
> to-make-a-great-r-reproducible-example>
> >
> > On Fri, 26 Apr 2013, Lopez, Dan wrote:
> >
> >  Hello R Experts,
> >>
> >> I kindly request your assistance on figuring out how to get a stratified
> >> random sampling proportional to 100.
> >>
> >> Below is my r code showing what I did and the error I'm getting with
> >> sampling::strata
> >>
> >> # FIRST I summarized count of records by the two variables I want to use
> >> as strata
> >>
> >> Library(RODBC)
> >> library(sqldf)
> >> library(sampling)
> >> #After establishing connection I query the data and sort it by strata
> >> APPT_TYP_CD_LL and EMPL_TYPE and store it in a dataframe
> >> CURRPOP<-sqlQuery(ch,"SELECT APPT_TYP_CD_LL,
> EMPL_TYPE,ASOFDATE,EMPLID,**
> >> NAME,DEPTID,JOBCODE,JOBTITLE,**SAL_ADMIN_PLAN,RET_TYP_CD_LL FROM
> >> PS_EMPLOYEES_LL WHERE EMPL_STATUS NOT IN('R','T') ORDER BY
> APPT_TYP_CD_LL,
> >> EMPL_TYPE")
> >> #ROWID is a dummy ID I added and repositioned after the strat columns for
> >> later use
> >> CURRPOP$ROWID<-seq(nrow(**CURRPOP))
> >> CURRPOP<-CURRPOP[,c(1:2,11,3:**10)]
> >>
> >> # My strata.  Stratp is how many I want to sampled from each strata. NOTE
> >> THERE ARE SOME 0's which just means I won't sample from that group.
> >> stratum_cp<-sqldf("SELECT APPT_TYP_CD_LL,EMPL_TYPE, count(*) HC FROM
> >> CURRPO

Re: [R] Stratified Random Sampling Proportional to Size

[Thomas Lumley]

It looks as though you can't sample zero observations from a stratum.  If
you take the example on the help page and change one of the sample sizes to
zero you get exactly the same error.

>From the fact that there isn't a more explicit error message, I would guess
that the author just never considered the possibility that someone would
have a population stratum and not sample from it.

-thomas


On Sun, Apr 28, 2013 at 7:14 PM, Jeff Newmiller wrote:

> a) Please post plain text
>
> b) Please make reproducible examples (e.g. telling us how you accessed a
> database that we have no access to is not helpful). See ?head, ?dput and [1]
>
> c) I don't know anything about the sampling package or the strata
> function, but I would recommend eliminating the rows that have zeros from
> the input data. E.g.:
>
> stratum_cp <- stratum_cp[ 0
> [1] http://stackoverflow.com/**questions/5963269/how-to-make-**
> a-great-r-reproducible-example
>
> On Fri, 26 Apr 2013, Lopez, Dan wrote:
>
>  Hello R Experts,
>>
>> I kindly request your assistance on figuring out how to get a stratified
>> random sampling proportional to 100.
>>
>> Below is my r code showing what I did and the error I'm getting with
>> sampling::strata
>>
>> # FIRST I summarized count of records by the two variables I want to use
>> as strata
>>
>> Library(RODBC)
>> library(sqldf)
>> library(sampling)
>> #After establishing connection I query the data and sort it by strata
>> APPT_TYP_CD_LL and EMPL_TYPE and store it in a dataframe
>> CURRPOP<-sqlQuery(ch,"SELECT APPT_TYP_CD_LL, EMPL_TYPE,ASOFDATE,EMPLID,**
>> NAME,DEPTID,JOBCODE,JOBTITLE,**SAL_ADMIN_PLAN,RET_TYP_CD_LL FROM
>> PS_EMPLOYEES_LL WHERE EMPL_STATUS NOT IN('R','T') ORDER BY APPT_TYP_CD_LL,
>> EMPL_TYPE")
>> #ROWID is a dummy ID I added and repositioned after the strat columns for
>> later use
>> CURRPOP$ROWID<-seq(nrow(**CURRPOP))
>> CURRPOP<-CURRPOP[,c(1:2,11,3:**10)]
>>
>> # My strata.  Stratp is how many I want to sampled from each strata. NOTE
>> THERE ARE SOME 0's which just means I won't sample from that group.
>> stratum_cp<-sqldf("SELECT APPT_TYP_CD_LL,EMPL_TYPE, count(*) HC FROM
>> CURRPOP GROUP BY APPT_TYP_CD_LL,EMPL_TYPE")
>> stratum_cp$stratp<-round(**stratum_cp$HC/nrow(CURRPOP)***100)
>>
>>  stratum_cp
>>>
>>   APPT_TYP_CD_LL EMPL_TYPE   HC stratp
>> 1  FA S1  0
>> 2  FC S5  0
>> 3  FP S  173  3
>> 4  FR H  170  3
>> 5  FX H   49  1
>> 6  FX S   57  1
>> 7  IN H 1589 25
>> 8  IN S 3987 63
>> 9  IP H7  0
>> 10 IP S   53  1
>> 11 SA H8  0
>> 12 SE S   43  1
>> 13 SF H   14  0
>> 14 SF S1  0
>> 15 SG S   10  0
>> 16 ST H  107  2
>> 17 ST S6  0
>>
>> #THEN I attempted to use sampling::strata using the instructions in that
>> package and got an error
>>
>>
>> #I use stratum_cp$stratp for my sizes.
>>
>>
>>
>>  s<-strata(CURRPOP,c("APPT_TYP_**CD_LL","EMPL_TYPE"),size=**
>>> stratum_cp$stratp,method="**srswor")
>>>
>>
>> Error in data.frame(..., check.names = FALSE) :
>>
>>  arguments imply differing number of rows: 0, 1
>>
>>  traceback()
>>>
>>
>> 5: stop("arguments imply differing number of rows: ", paste(unique(nrows),
>>
>>   collapse = ", "))
>>
>> 4: data.frame(..., check.names = FALSE)
>>
>> 3: cbind(deparse.level, ...)
>>
>> 2: cbind(r, i)
>>
>> 1: strata(CURRPOP, c("APPT_TYP_CD_LL", "EMPL_TYPE"), size =
>> stratum_cp$stratp,
>>
>>   method = "srswor")
>>
>>
>>
>> #In lieu of a reproducible sample here is some info regarding most of my
>> data
>> dim(CURRPOP)
>> [1] 6280   11
>> #Cols w/ personal info have been removed in this output
>>
>>  str(CURRPOP[,c(1:3,7:11)])
>>>
>>
>> 'data.frame':  6280 obs. of  8 variables:
>>
>> $ APPT_TYP_CD_LL: Factor w/ 12 levels "FA","FC","FP",..: 1 2 2 2 2 2 3 3
>> 3 3 ...
>>
>> $ EMPL_TYPE : Factor w/ 2 levels "H","S": 2 2 2 2 2 2 2 2 2 2 ...
>>
>> $ ROWID : int  1 2 3 4 5 6 7 8 9 10 ...
>>
>> $ DEPTID: int  9825 9613 9613 9852 9772 9852 9853 9853 9853 9854
>> ...
>>
>> $ JOBCODE   : Factor w/ 325 levels "055.2","055.3",..: 311 112 112
>> 112 112 112 298 299 299 300 ...
>>
>> $ JOBTITLE  : Factor w/ 325 levels "Accounting Assistant",..: 227 192
>> 192 192 192 192 190 191 191 153 ...
>>
>> $ SAL_ADMIN_PLAN: Factor w/ 40 levels "ADE","AME","ASE",..: 36 38 38 38
>> 38 38 31 31 31 31 ...
>>
>> $ RET_TYP_CD_LL : Factor w/ 2 levels "TCP1","TCP2": 2 2 2 2 2 2 2 2 2 2
>> ...
>>
>> Daniel Lopez
>> Workforce Analyst
>> HRIM - Workforce Analytics & Metrics
>> Strategic Human Resources Management
>> wf-analytics-

Re: [R] Stratified Random Sampling Proportional to Size

[Jeff Newmiller]

a) Please post plain text

b) Please make reproducible examples (e.g. telling us how you accessed a 
database that we have no access to is not helpful). See ?head, ?dput and 
[1]


c) I don't know anything about the sampling package or the strata 
function, but I would recommend eliminating the rows that have zeros from 
the input data. E.g.:


stratum_cp <- stratum_cp[ 0[1] 
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example


On Fri, 26 Apr 2013, Lopez, Dan wrote:


Hello R Experts,

I kindly request your assistance on figuring out how to get a stratified 
random sampling proportional to 100.


Below is my r code showing what I did and the error I'm getting with 
sampling::strata


# FIRST I summarized count of records by the two variables I want to use 
as strata


Library(RODBC)
library(sqldf)
library(sampling)
#After establishing connection I query the data and sort it by strata 
APPT_TYP_CD_LL and EMPL_TYPE and store it in a dataframe
CURRPOP<-sqlQuery(ch,"SELECT APPT_TYP_CD_LL, 
EMPL_TYPE,ASOFDATE,EMPLID,NAME,DEPTID,JOBCODE,JOBTITLE,SAL_ADMIN_PLAN,RET_TYP_CD_LL FROM 
PS_EMPLOYEES_LL WHERE EMPL_STATUS NOT IN('R','T') ORDER BY APPT_TYP_CD_LL, EMPL_TYPE")
#ROWID is a dummy ID I added and repositioned after the strat columns for later 
use
CURRPOP$ROWID<-seq(nrow(CURRPOP))
CURRPOP<-CURRPOP[,c(1:2,11,3:10)]

# My strata.  Stratp is how many I want to sampled from each strata. NOTE THERE 
ARE SOME 0's which just means I won't sample from that group.
stratum_cp<-sqldf("SELECT APPT_TYP_CD_LL,EMPL_TYPE, count(*) HC FROM CURRPOP GROUP 
BY APPT_TYP_CD_LL,EMPL_TYPE")
stratum_cp$stratp<-round(stratum_cp$HC/nrow(CURRPOP)*100)


stratum_cp

  APPT_TYP_CD_LL EMPL_TYPE   HC stratp
1  FA S1  0
2  FC S5  0
3  FP S  173  3
4  FR H  170  3
5  FX H   49  1
6  FX S   57  1
7  IN H 1589 25
8  IN S 3987 63
9  IP H7  0
10 IP S   53  1
11 SA H8  0
12 SE S   43  1
13 SF H   14  0
14 SF S1  0
15 SG S   10  0
16 ST H  107  2
17 ST S6  0

#THEN I attempted to use sampling::strata using the instructions in that 
package and got an error



#I use stratum_cp$stratp for my sizes.




s<-strata(CURRPOP,c("APPT_TYP_CD_LL","EMPL_TYPE"),size=stratum_cp$stratp,method="srswor")


Error in data.frame(..., check.names = FALSE) :

 arguments imply differing number of rows: 0, 1


traceback()


5: stop("arguments imply differing number of rows: ", paste(unique(nrows),

  collapse = ", "))

4: data.frame(..., check.names = FALSE)

3: cbind(deparse.level, ...)

2: cbind(r, i)

1: strata(CURRPOP, c("APPT_TYP_CD_LL", "EMPL_TYPE"), size = stratum_cp$stratp,

  method = "srswor")



#In lieu of a reproducible sample here is some info regarding most of my data
dim(CURRPOP)
[1] 6280   11
#Cols w/ personal info have been removed in this output


str(CURRPOP[,c(1:3,7:11)])


'data.frame':  6280 obs. of  8 variables:

$ APPT_TYP_CD_LL: Factor w/ 12 levels "FA","FC","FP",..: 1 2 2 2 2 2 3 3 3 3 ...

$ EMPL_TYPE : Factor w/ 2 levels "H","S": 2 2 2 2 2 2 2 2 2 2 ...

$ ROWID : int  1 2 3 4 5 6 7 8 9 10 ...

$ DEPTID: int  9825 9613 9613 9852 9772 9852 9853 9853 9853 9854 ...

$ JOBCODE   : Factor w/ 325 levels "055.2","055.3",..: 311 112 112 112 112 
112 298 299 299 300 ...

$ JOBTITLE  : Factor w/ 325 levels "Accounting Assistant",..: 227 192 192 
192 192 192 190 191 191 153 ...

$ SAL_ADMIN_PLAN: Factor w/ 40 levels "ADE","AME","ASE",..: 36 38 38 38 38 38 
31 31 31 31 ...

$ RET_TYP_CD_LL : Factor w/ 2 levels "TCP1","TCP2": 2 2 2 2 2 2 2 2 2 2 ...

Daniel Lopez
Workforce Analyst
HRIM - Workforce Analytics & Metrics
Strategic Human Resources Management
wf-analytics-metr...@lists.llnl.gov
(925) 422-0814


[[alternative HTML version deleted]]

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[R] Stratified Random Sampling Proportional to Size

[Lopez, Dan]

Hello R Experts,

I kindly request your assistance on figuring out how to get a stratified random 
sampling proportional to 100.

Below is my r code showing what I did and the error I'm getting with 
sampling::strata

# FIRST I summarized count of records by the two variables I want to use as 
strata

Library(RODBC)
library(sqldf)
library(sampling)
#After establishing connection I query the data and sort it by strata 
APPT_TYP_CD_LL and EMPL_TYPE and store it in a dataframe
CURRPOP<-sqlQuery(ch,"SELECT APPT_TYP_CD_LL, 
EMPL_TYPE,ASOFDATE,EMPLID,NAME,DEPTID,JOBCODE,JOBTITLE,SAL_ADMIN_PLAN,RET_TYP_CD_LL
 FROM PS_EMPLOYEES_LL WHERE EMPL_STATUS NOT IN('R','T') ORDER BY 
APPT_TYP_CD_LL, EMPL_TYPE")
#ROWID is a dummy ID I added and repositioned after the strat columns for later 
use
CURRPOP$ROWID<-seq(nrow(CURRPOP))
CURRPOP<-CURRPOP[,c(1:2,11,3:10)]

# My strata.  Stratp is how many I want to sampled from each strata. NOTE THERE 
ARE SOME 0's which just means I won't sample from that group.
stratum_cp<-sqldf("SELECT APPT_TYP_CD_LL,EMPL_TYPE, count(*) HC FROM CURRPOP 
GROUP BY APPT_TYP_CD_LL,EMPL_TYPE")
stratum_cp$stratp<-round(stratum_cp$HC/nrow(CURRPOP)*100)

> stratum_cp
   APPT_TYP_CD_LL EMPL_TYPE   HC stratp
1  FA S1  0
2  FC S5  0
3  FP S  173  3
4  FR H  170  3
5  FX H   49  1
6  FX S   57  1
7  IN H 1589 25
8  IN S 3987 63
9  IP H7  0
10 IP S   53  1
11 SA H8  0
12 SE S   43  1
13 SF H   14  0
14 SF S1  0
15 SG S   10  0
16 ST H  107  2
17 ST S6  0

#THEN I attempted to use sampling::strata using the instructions in that 
package and got an error


#I use stratum_cp$stratp for my sizes.



> s<-strata(CURRPOP,c("APPT_TYP_CD_LL","EMPL_TYPE"),size=stratum_cp$stratp,method="srswor")

Error in data.frame(..., check.names = FALSE) :

  arguments imply differing number of rows: 0, 1

> traceback()

5: stop("arguments imply differing number of rows: ", paste(unique(nrows),

   collapse = ", "))

4: data.frame(..., check.names = FALSE)

3: cbind(deparse.level, ...)

2: cbind(r, i)

1: strata(CURRPOP, c("APPT_TYP_CD_LL", "EMPL_TYPE"), size = stratum_cp$stratp,

   method = "srswor")



#In lieu of a reproducible sample here is some info regarding most of my data
dim(CURRPOP)
[1] 6280   11
#Cols w/ personal info have been removed in this output

> str(CURRPOP[,c(1:3,7:11)])

'data.frame':  6280 obs. of  8 variables:

 $ APPT_TYP_CD_LL: Factor w/ 12 levels "FA","FC","FP",..: 1 2 2 2 2 2 3 3 3 3 
...

 $ EMPL_TYPE : Factor w/ 2 levels "H","S": 2 2 2 2 2 2 2 2 2 2 ...

 $ ROWID : int  1 2 3 4 5 6 7 8 9 10 ...

 $ DEPTID: int  9825 9613 9613 9852 9772 9852 9853 9853 9853 9854 ...

 $ JOBCODE   : Factor w/ 325 levels "055.2","055.3",..: 311 112 112 112 112 
112 298 299 299 300 ...

 $ JOBTITLE  : Factor w/ 325 levels "Accounting Assistant",..: 227 192 192 
192 192 192 190 191 191 153 ...

 $ SAL_ADMIN_PLAN: Factor w/ 40 levels "ADE","AME","ASE",..: 36 38 38 38 38 38 
31 31 31 31 ...

 $ RET_TYP_CD_LL : Factor w/ 2 levels "TCP1","TCP2": 2 2 2 2 2 2 2 2 2 2 ...

Daniel Lopez
Workforce Analyst
HRIM - Workforce Analytics & Metrics
Strategic Human Resources Management
wf-analytics-metr...@lists.llnl.gov
(925) 422-0814


[[alternative HTML version deleted]]

__
R-help@r-project.org mailing list
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.