Hello,
The range() with complete.cases() removes NA's for the date variables that are read from a data frame. However, the issue is that the same function does not remove NA's for the other date variable that is created using the dplyr/mutate(). The console and the reproducible example are given below. Any advice how to resolve this issue would be appreciated.
Thanks,
Pradip Muhuri
################# cut and pasted from the R console ####################
id mrjdate cocdate inhdate haldate oiddate
1 1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2008-07-18
2 2 <NA> <NA> <NA> <NA> <NA>
3 3 2009-10-24 <NA> 2011-10-13 <NA> 2011-10-13
4 4 2007-10-10 <NA> <NA> <NA> 2007-10-10
5 5 2006-09-01 2005-08-10 <NA> <NA> 2006-09-01
6 6 2007-09-04 2011-10-05 <NA> <NA> 2011-10-05
7 7 2005-10-25 <NA> <NA> 2011-11-04 2011-11-04
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
[1] NA "2011-11-04"
################ reproducible code #############################
library(dplyr)
library(lubridate)
library(zoo)
# data object - description of the
temp <- "id mrjdate cocdate inhdate haldate
1 2004-11-04 2008-07-18 2005-07-07 2007-11-07
2 NA NA NA NA
3 2009-10-24 NA 2011-10-13 NA
4 2007-10-10 NA NA NA
5 2006-09-01 2005-08-10 NA NA
6 2007-09-04 2011-10-05 NA NA
7 2005-10-25 NA NA 2011-11-04"
# read the data object
data1 <- read.table(textConnection(temp),
colClasses=c("character", "Date", "Date", "Date", "Date"),
header=TRUE, as.is=TRUE
)
# create a new column
data2 <- data1 %>%
rowwise() %>%
mutate(oiddate=as.Date(max(mrjdate,cocdate, inhdate, haldate,
na.rm=TRUE), origin='1970-01-01'))
# print records
print (data2)
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
range(data2$cocdate[complete.cases(data2$cocdate)])
range(data2$inhdate[complete.cases(data2$inhdate)])
range(data2$haldate[complete.cases(data2$haldate)])
range(data2$oiddate[complete.cases(data2$oiddate)])
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260
Try
range(data2$oiddate[complete.cases(data2$oiddate) & is.finite(data2$oiddate)])
#[1] "2006-09-01" "2011-11-04"
If you look at the `dput` output, it is `Inf` for oiddate
dput(data2$oiddate)
structure(c(14078, -Inf, 15260, 13796, 13392, 15252, 15282), class = "Date")
A.K.
On Monday, November 10, 2014 11:15 AM, "Muhuri, Pradip (SAMHSA/CBHSQ)" <Pradip.Muhuri at samhsa.hhs.gov> wrote:
Hello,
The range() with complete.cases() removes NA's for the date variables that are read from a data frame. However, the issue is that the same function does not remove NA's for the other date variable that is created using the dplyr/mutate(). The console and the reproducible example are given below. Any advice how to resolve this issue would be appreciated.
Thanks,
Pradip Muhuri
################# cut and pasted from the R console ####################
id mrjdate cocdate inhdate haldate oiddate
1 1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2008-07-18
2 2 <NA> <NA> <NA> <NA> <NA>
3 3 2009-10-24 <NA> 2011-10-13 <NA> 2011-10-13
4 4 2007-10-10 <NA> <NA> <NA> 2007-10-10
5 5 2006-09-01 2005-08-10 <NA> <NA> 2006-09-01
6 6 2007-09-04 2011-10-05 <NA> <NA> 2011-10-05
7 7 2005-10-25 <NA> <NA> 2011-11-04 2011-11-04
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
[1] NA "2011-11-04"
################ reproducible code #############################
library(dplyr)
library(lubridate)
library(zoo)
# data object - description of the
temp <- "id mrjdate cocdate inhdate haldate
1 2004-11-04 2008-07-18 2005-07-07 2007-11-07
2 NA NA NA NA
3 2009-10-24 NA 2011-10-13 NA
4 2007-10-10 NA NA NA
5 2006-09-01 2005-08-10 NA NA
6 2007-09-04 2011-10-05 NA NA
7 2005-10-25 NA NA 2011-11-04"
# read the data object
data1 <- read.table(textConnection(temp),
colClasses=c("character", "Date", "Date", "Date", "Date"),
header=TRUE, as.is=TRUE
)
# create a new column
data2 <- data1 %>%
rowwise() %>%
mutate(oiddate=as.Date(max(mrjdate,cocdate, inhdate, haldate,
na.rm=TRUE), origin='1970-01-01'))
# print records
print (data2)
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
range(data2$cocdate[complete.cases(data2$cocdate)])
range(data2$inhdate[complete.cases(data2$inhdate)])
range(data2$haldate[complete.cases(data2$haldate)])
range(data2$oiddate[complete.cases(data2$oiddate)])
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260
______________________________________________
R-help at 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.
Hello Arun,
Thank you so much for your help.
Regards,
Pradip
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260
-----Original Message-----
From: arun [mailto:smartpink111 at yahoo.com]
Sent: Monday, November 10, 2014 11:30 AM
To: Muhuri, Pradip (SAMHSA/CBHSQ); r-help at r-project.org
Subject: Re: [R] range () does not remove NA's with complete.cases() for dates (dplyr/mutate)
Try
range(data2$oiddate[complete.cases(data2$oiddate) & is.finite(data2$oiddate)]) #[1] "2006-09-01" "2011-11-04"
If you look at the `dput` output, it is `Inf` for oiddate
dput(data2$oiddate)
structure(c(14078, -Inf, 15260, 13796, 13392, 15252, 15282), class = "Date")
A.K.
On Monday, November 10, 2014 11:15 AM, "Muhuri, Pradip (SAMHSA/CBHSQ)" <Pradip.Muhuri at samhsa.hhs.gov> wrote:
Hello,
The range() with complete.cases() removes NA's for the date variables that are read from a data frame. However, the issue is that the same function does not remove NA's for the other date variable that is created using the dplyr/mutate(). The console and the reproducible example are given below. Any advice how to resolve this issue would be appreciated.
Thanks,
Pradip Muhuri
################# cut and pasted from the R console ####################
id mrjdate cocdate inhdate haldate oiddate
1 1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2008-07-18
2 2 <NA> <NA> <NA> <NA> <NA>
3 3 2009-10-24 <NA> 2011-10-13 <NA> 2011-10-13
4 4 2007-10-10 <NA> <NA> <NA> 2007-10-10
5 5 2006-09-01 2005-08-10 <NA> <NA> 2006-09-01
6 6 2007-09-04 2011-10-05 <NA> <NA> 2011-10-05
7 7 2005-10-25 <NA> <NA> 2011-11-04 2011-11-04
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
[1] NA "2011-11-04"
################ reproducible code #############################
library(dplyr)
library(lubridate)
library(zoo)
# data object - description of the
temp <- "id mrjdate cocdate inhdate haldate
1 2004-11-04 2008-07-18 2005-07-07 2007-11-07
2 NA NA NA NA
3 2009-10-24 NA 2011-10-13 NA
4 2007-10-10 NA NA NA
5 2006-09-01 2005-08-10 NA NA
6 2007-09-04 2011-10-05 NA NA
7 2005-10-25 NA NA 2011-11-04"
# read the data object
data1 <- read.table(textConnection(temp),
colClasses=c("character", "Date", "Date", "Date", "Date"),
header=TRUE, as.is=TRUE
)
# create a new column
data2 <- data1 %>%
rowwise() %>%
mutate(oiddate=as.Date(max(mrjdate,cocdate, inhdate, haldate,
na.rm=TRUE), origin='1970-01-01'))
# print records
print (data2)
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
range(data2$cocdate[complete.cases(data2$cocdate)])
range(data2$inhdate[complete.cases(data2$inhdate)])
range(data2$haldate[complete.cases(data2$haldate)])
range(data2$oiddate[complete.cases(data2$oiddate)])
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260
______________________________________________
R-help at 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.
Pradip,
For some reason mutate is not setting the is.NA value for the new column. Note the output below using your data structures.
## It looks at first as if the second element of both columns are NA.
data2$mrjdate[2]
[1] NA
data2$oiddate[2]
[1] NA
## for convenience
mrj <- data2$mrjdate[2]
oid <- data2$oiddate[2]
mode(mrj)
[1] "numeric"
mode(oid)
[1] "numeric"
str(mrj)
Date[1:1], format: NA
str(oid)
Date[1:1], format: NA
class(mrj)
[1] "Date"
class(oid)
[1] "Date"
## But note:
identical(mrj, oid)
[1] FALSE
all.equal(mrj, oid)
[1] "'is.NA' value mismatch: 0 in current 1 in target"
## functioning code
data2$mrjdate[2]
data2$oiddate[2]
mrj <- data2$mrjdate[2]
oid <- data2$oiddate[2]
mode(mrj)
mode(oid)
str(mrj)
str(oid)
class(mrj)
class(oid)
# But note:
identical(mrj, oid)
all.equal(mrj, oid)
## This ugly solution does not have the problem.
On Nov 10, 2014, at 10:10 AM, Muhuri, Pradip (SAMHSA/CBHSQ) wrote:
Hello,
The range() with complete.cases() removes NA's for the date variables that are read from a data frame. However, the issue is that the same function does not remove NA's for the other date variable that is created using the dplyr/mutate(). The console and the reproducible example are given below. Any advice how to resolve this issue would be appreciated.
Thanks,
Pradip Muhuri
################# cut and pasted from the R console ####################
id mrjdate cocdate inhdate haldate oiddate
1 1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2008-07-18
2 2 <NA> <NA> <NA> <NA> <NA>
3 3 2009-10-24 <NA> 2011-10-13 <NA> 2011-10-13
4 4 2007-10-10 <NA> <NA> <NA> 2007-10-10
5 5 2006-09-01 2005-08-10 <NA> <NA> 2006-09-01
6 6 2007-09-04 2011-10-05 <NA> <NA> 2011-10-05
7 7 2005-10-25 <NA> <NA> 2011-11-04 2011-11-04
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
[1] NA "2011-11-04"
################ reproducible code #############################
library(dplyr)
library(lubridate)
library(zoo)
# data object - description of the
temp <- "id mrjdate cocdate inhdate haldate
1 2004-11-04 2008-07-18 2005-07-07 2007-11-07
2 NA NA NA NA
3 2009-10-24 NA 2011-10-13 NA
4 2007-10-10 NA NA NA
5 2006-09-01 2005-08-10 NA NA
6 2007-09-04 2011-10-05 NA NA
7 2005-10-25 NA NA 2011-11-04"
# read the data object
data1 <- read.table(textConnection(temp),
colClasses=c("character", "Date", "Date", "Date", "Date"),
header=TRUE, as.is=TRUE
)
# create a new column
data2 <- data1 %>%
rowwise() %>%
mutate(oiddate=as.Date(max(mrjdate,cocdate, inhdate, haldate,
na.rm=TRUE), origin='1970-01-01'))
# print records
print (data2)
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
range(data2$cocdate[complete.cases(data2$cocdate)])
range(data2$inhdate[complete.cases(data2$inhdate)])
range(data2$haldate[complete.cases(data2$haldate)])
range(data2$oiddate[complete.cases(data2$oiddate)])
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260
[[alternative HTML version deleted]]
NOTICE: This E-Mail (including attachments) is confidential and may be legally privileged. It is covered by the Electronic Communications Privacy Act, 18 U.S.C.2510-2521. If you are not the intended recipient, you are hereby notified that any retention, dissemination, distribution or copying of this communication is strictly prohibited. Please reply to the sender that you have received this message in error, then delete it.
Mark,
Thank you very much for further looking into this issue. So, the "ugly" solution is better! Would you like to bring to Hadley's attention that mutate does set the NA value for the new column?
Regards,
Pradip
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260
-----Original Message-----
From: Mark Sharp [mailto:msharp at TxBiomed.org]
Sent: Monday, November 10, 2014 12:23 PM
To: Muhuri, Pradip (SAMHSA/CBHSQ)
Cc: r-help at r-project.org
Subject: Re: [R] range () does not remove NA's with complete.cases() for dates (dplyr/mutate)
Pradip,
For some reason mutate is not setting the is.NA value for the new column. Note the output below using your data structures.
## It looks at first as if the second element of both columns are NA.
data2$mrjdate[2]
[1] NA
data2$oiddate[2]
[1] NA
## for convenience
mrj <- data2$mrjdate[2]
oid <- data2$oiddate[2]
mode(mrj)
[1] "numeric"
mode(oid)
[1] "numeric"
str(mrj)
Date[1:1], format: NA
str(oid)
Date[1:1], format: NA
class(mrj)
[1] "Date"
class(oid)
[1] "Date"
## But note:
identical(mrj, oid)
[1] FALSE
all.equal(mrj, oid)
[1] "'is.NA' value mismatch: 0 in current 1 in target"
## functioning code
data2$mrjdate[2]
data2$oiddate[2]
mrj <- data2$mrjdate[2]
oid <- data2$oiddate[2]
mode(mrj)
mode(oid)
str(mrj)
str(oid)
class(mrj)
class(oid)
# But note:
identical(mrj, oid)
all.equal(mrj, oid)
## This ugly solution does not have the problem.
On Nov 10, 2014, at 10:10 AM, Muhuri, Pradip (SAMHSA/CBHSQ) wrote:
Hello,
The range() with complete.cases() removes NA's for the date variables that are read from a data frame. However, the issue is that the same function does not remove NA's for the other date variable that is created using the dplyr/mutate(). The console and the reproducible example are given below. Any advice how to resolve this issue would be appreciated.
Thanks,
Pradip Muhuri
################# cut and pasted from the R console ####################
id mrjdate cocdate inhdate haldate oiddate
1 1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2008-07-18
2 2 <NA> <NA> <NA> <NA> <NA>
3 3 2009-10-24 <NA> 2011-10-13 <NA> 2011-10-13
4 4 2007-10-10 <NA> <NA> <NA> 2007-10-10
5 5 2006-09-01 2005-08-10 <NA> <NA> 2006-09-01
6 6 2007-09-04 2011-10-05 <NA> <NA> 2011-10-05
7 7 2005-10-25 <NA> <NA> 2011-11-04 2011-11-04
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
[1] NA "2011-11-04"
################ reproducible code #############################
library(dplyr)
library(lubridate)
library(zoo)
# data object - description of the
temp <- "id mrjdate cocdate inhdate haldate
1 2004-11-04 2008-07-18 2005-07-07 2007-11-07
2 NA NA NA NA
3 2009-10-24 NA 2011-10-13 NA
4 2007-10-10 NA NA NA
5 2006-09-01 2005-08-10 NA NA
6 2007-09-04 2011-10-05 NA NA
7 2005-10-25 NA NA 2011-11-04"
# read the data object
data1 <- read.table(textConnection(temp),
colClasses=c("character", "Date", "Date", "Date", "Date"),
header=TRUE, as.is=TRUE
)
# create a new column
data2 <- data1 %>%
rowwise() %>%
mutate(oiddate=as.Date(max(mrjdate,cocdate, inhdate, haldate,
na.rm=TRUE), origin='1970-01-01'))
# print records
print (data2)
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
range(data2$cocdate[complete.cases(data2$cocdate)])
range(data2$inhdate[complete.cases(data2$inhdate)])
range(data2$haldate[complete.cases(data2$haldate)])
range(data2$oiddate[complete.cases(data2$oiddate)])
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260
[[alternative HTML version deleted]]
NOTICE: This E-Mail (including attachments) is confidential and may be legally privileged. It is covered by the Electronic Communications Privacy Act, 18 U.S.C.2510-2521. If you are not the intended recipient, you are hereby notified that any retention, dissemination, distribution or copying of this communication is strictly prohibited. Please reply to the sender that you have received this message in error, then delete it.
Would you like to bring to Hadley's attention that mutate does
set the NA value for the new column?
This may not be mutate()'s problem.
The Date class is messed up with regard to NA's and Inf's. E.g., what gets
printed as NA does not correspond to what is.na() returns and its range()
method does not appear to pass the finite=TRUE argument to range.default:
> d <- as.Date(c("2014-10-31", c("2014-11-10")))
> d1 <- range(d[0], finite=TRUE)
Warning messages:
1: In min.default(numeric(0), na.rm = FALSE) :
no non-missing arguments to min; returning Inf
2: In max.default(numeric(0), na.rm = FALSE) :
no non-missing arguments to max; returning -Inf
> d1
[1] NA NA
> is.na(d1)
[1] FALSE FALSE
> dput(d1)
structure(c(Inf, -Inf), class = "Date")
> range(c(d1, d), finite=TRUE)
[1] NA NA
> range(c(d1, d), finite=TRUE, na.rm=TRUE)
[1] NA NA
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Mon, Nov 10, 2014 at 10:09 AM, Muhuri, Pradip (SAMHSA/CBHSQ) <
Pradip.Muhuri at samhsa.hhs.gov> wrote:
Mark,
Thank you very much for further looking into this issue. So, the "ugly"
solution is better! Would you like to bring to Hadley's attention that
mutate does set the NA value for the new column?
Regards,
Pradip
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260
-----Original Message-----
From: Mark Sharp [mailto:msharp at TxBiomed.org]
Sent: Monday, November 10, 2014 12:23 PM
To: Muhuri, Pradip (SAMHSA/CBHSQ)
Cc: r-help at r-project.org
Subject: Re: [R] range () does not remove NA's with complete.cases() for
dates (dplyr/mutate)
Pradip,
For some reason mutate is not setting the is.NA value for the new column.
Note the output below using your data structures.
## It looks at first as if the second element of both columns are NA.
data2$mrjdate[2]
[1] NA
data2$oiddate[2]
[1] NA
## for convenience
mrj <- data2$mrjdate[2]
oid <- data2$oiddate[2]
mode(mrj)
[1] "numeric"
mode(oid)
[1] "numeric"
str(mrj)
Date[1:1], format: NA
str(oid)
Date[1:1], format: NA
class(mrj)
[1] "Date"
class(oid)
[1] "Date"
## But note:
identical(mrj, oid)
[1] FALSE
all.equal(mrj, oid)
[1] "'is.NA' value mismatch: 0 in current 1 in target"
## functioning code
data2$mrjdate[2]
data2$oiddate[2]
mrj <- data2$mrjdate[2]
oid <- data2$oiddate[2]
mode(mrj)
mode(oid)
str(mrj)
str(oid)
class(mrj)
class(oid)
# But note:
identical(mrj, oid)
all.equal(mrj, oid)
## This ugly solution does not have the problem.
Working code below.
data3 <- data1
data3$oiddate <- as.Date(sapply(seq_along(data3$id), function(row) {
if (all(is.na(unlist(data1[row, -1])))) {
max_d <- NA
} else {
max_d <- max(unlist(data1[row, -1]), na.rm = TRUE)
}
max_d}),
origin = "1970-01-01")
range(data3$mrjdate[complete.cases(data3$mrjdate)])
range(data3$cocdate[complete.cases(data3$cocdate)])
range(data3$inhdate[complete.cases(data3$inhdate)])
range(data3$haldate[complete.cases(data3$haldate)])
range(data3$oiddate[complete.cases(data3$oiddate)])
On Nov 10, 2014, at 10:10 AM, Muhuri, Pradip (SAMHSA/CBHSQ) wrote:
Hello,
The range() with complete.cases() removes NA's for the date variables
that are read from a data frame. However, the issue is that the same
function does not remove NA's for the other date variable that is created
using the dplyr/mutate(). The console and the reproducible example are
given below. Any advice how to resolve this issue would be appreciated.
[1] NA "2011-11-04"
################ reproducible code #############################
library(dplyr)
library(lubridate)
library(zoo)
# data object - description of the
temp <- "id mrjdate cocdate inhdate haldate
1 2004-11-04 2008-07-18 2005-07-07 2007-11-07
2 NA NA NA NA
3 2009-10-24 NA 2011-10-13 NA
4 2007-10-10 NA NA NA
5 2006-09-01 2005-08-10 NA NA
6 2007-09-04 2011-10-05 NA NA
7 2005-10-25 NA NA 2011-11-04"
# read the data object
data1 <- read.table(textConnection(temp),
colClasses=c("character", "Date", "Date", "Date",
"Date"),
header=TRUE, as.is=TRUE
)
# create a new column
data2 <- data1 %>%
rowwise() %>%
mutate(oiddate=as.Date(max(mrjdate,cocdate, inhdate, haldate,
na.rm=TRUE), origin='1970-01-01'))
# print records
print (data2)
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
range(data2$cocdate[complete.cases(data2$cocdate)])
range(data2$inhdate[complete.cases(data2$inhdate)])
range(data2$haldate[complete.cases(data2$haldate)])
range(data2$oiddate[complete.cases(data2$oiddate)])
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260
[[alternative HTML version deleted]]
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
NOTICE: This E-Mail (including attachments) is confidential and may be
legally privileged. It is covered by the Electronic Communications Privacy
Act, 18 U.S.C.2510-2521. If you are not the intended recipient, you are
hereby notified that any retention, dissemination, distribution or copying
of this communication is strictly prohibited. Please reply to the sender
that you have received this message in error, then delete it.
______________________________________________
R-help at 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.
Hi Bill and mark,
I meant the mutate does NOT set the NA value ? sorry for the confusion. Thank you for your clarifications that this may not be mutate()?s problem. This thread is now closed from my end.
Thanks,
Pradip
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260
From: William Dunlap [mailto:wdunlap at tibco.com]
Sent: Monday, November 10, 2014 1:30 PM
To: Muhuri, Pradip (SAMHSA/CBHSQ)
Cc: Mark Sharp; r-help at r-project.org
Subject: Re: [R] range () does not remove NA's with complete.cases() for dates (dplyr/mutate)
Would you like to bring to Hadley's attention that mutate does
set the NA value for the new column?
This may not be mutate()'s problem.
The Date class is messed up with regard to NA's and Inf's. E.g., what gets printed as NA does not correspond to what is.na<http://is.na>() returns and its range() method does not appear to pass the finite=TRUE argument to range.default:
> d <- as.Date(c("2014-10-31", c("2014-11-10")))
> d1 <- range(d[0], finite=TRUE)
Warning messages:
1: In min.default(numeric(0), na.rm = FALSE) :
no non-missing arguments to min; returning Inf
2: In max.default(numeric(0), na.rm = FALSE) :
no non-missing arguments to max; returning -Inf
> d1
[1] NA NA
> is.na<http://is.na>(d1)
[1] FALSE FALSE
> dput(d1)
structure(c(Inf, -Inf), class = "Date")
> range(c(d1, d), finite=TRUE)
[1] NA NA
> range(c(d1, d), finite=TRUE, na.rm=TRUE)
[1] NA NA
Bill Dunlap
TIBCO Software
wdunlap tibco.com<http://tibco.com>
On Mon, Nov 10, 2014 at 10:09 AM, Muhuri, Pradip (SAMHSA/CBHSQ) <Pradip.Muhuri at samhsa.hhs.gov<mailto:Pradip.Muhuri at samhsa.hhs.gov>> wrote:
Mark,
Thank you very much for further looking into this issue. So, the "ugly" solution is better! Would you like to bring to Hadley's attention that mutate does set the NA value for the new column?
Regards,
Pradip
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070<tel:240-276-1070>
Fax: 240-276-1260<tel:240-276-1260>
-----Original Message-----
From: Mark Sharp [mailto:msharp at TxBiomed.org<mailto:msharp at TxBiomed.org>]
Sent: Monday, November 10, 2014 12:23 PM
To: Muhuri, Pradip (SAMHSA/CBHSQ)
Cc: r-help at r-project.org<mailto:r-help at r-project.org>
Subject: Re: [R] range () does not remove NA's with complete.cases() for dates (dplyr/mutate)
Pradip,
For some reason mutate is not setting the is.NA value for the new column. Note the output below using your data structures.
## It looks at first as if the second element of both columns are NA.
data2$mrjdate[2]
[1] NA
data2$oiddate[2]
[1] NA
## for convenience
mrj <- data2$mrjdate[2]
oid <- data2$oiddate[2]
mode(mrj)
[1] "numeric"
mode(oid)
[1] "numeric"
str(mrj)
Date[1:1], format: NA
str(oid)
Date[1:1], format: NA
class(mrj)
[1] "Date"
class(oid)
[1] "Date"
## But note:
identical(mrj, oid)
[1] FALSE
all.equal(mrj, oid)
[1] "'is.NA' value mismatch: 0 in current 1 in target"
## functioning code
data2$mrjdate[2]
data2$oiddate[2]
mrj <- data2$mrjdate[2]
oid <- data2$oiddate[2]
mode(mrj)
mode(oid)
str(mrj)
str(oid)
class(mrj)
class(oid)
# But note:
identical(mrj, oid)
all.equal(mrj, oid)
## This ugly solution does not have the problem.
On Nov 10, 2014, at 10:10 AM, Muhuri, Pradip (SAMHSA/CBHSQ) wrote:
Hello,
The range() with complete.cases() removes NA's for the date variables that are read from a data frame. However, the issue is that the same function does not remove NA's for the other date variable that is created using the dplyr/mutate(). The console and the reproducible example are given below. Any advice how to resolve this issue would be appreciated.
Thanks,
Pradip Muhuri
################# cut and pasted from the R console ####################
id mrjdate cocdate inhdate haldate oiddate
1 1 2004-11-04 2008-07-18 2005-07-07 2007-11-07 2008-07-18
2 2 <NA> <NA> <NA> <NA> <NA>
3 3 2009-10-24 <NA> 2011-10-13 <NA> 2011-10-13
4 4 2007-10-10 <NA> <NA> <NA> 2007-10-10
5 5 2006-09-01 2005-08-10 <NA> <NA> 2006-09-01
6 6 2007-09-04 2011-10-05 <NA> <NA> 2011-10-05
7 7 2005-10-25 <NA> <NA> 2011-11-04 2011-11-04
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
[1] NA "2011-11-04"
################ reproducible code #############################
library(dplyr)
library(lubridate)
library(zoo)
# data object - description of the
temp <- "id mrjdate cocdate inhdate haldate
1 2004-11-04 2008-07-18 2005-07-07 2007-11-07
2 NA NA NA NA
3 2009-10-24 NA 2011-10-13 NA
4 2007-10-10 NA NA NA
5 2006-09-01 2005-08-10 NA NA
6 2007-09-04 2011-10-05 NA NA
7 2005-10-25 NA NA 2011-11-04"
# read the data object
data1 <- read.table(textConnection(temp),
colClasses=c("character", "Date", "Date", "Date", "Date"),
header=TRUE, as.is<http://as.is>=TRUE
)
# create a new column
data2 <- data1 %>%
rowwise() %>%
mutate(oiddate=as.Date(max(mrjdate,cocdate, inhdate, haldate,
na.rm=TRUE), origin='1970-01-01'))
# print records
print (data2)
# range of dates
range(data2$mrjdate[complete.cases(data2$mrjdate)])
range(data2$cocdate[complete.cases(data2$cocdate)])
range(data2$inhdate[complete.cases(data2$inhdate)])
range(data2$haldate[complete.cases(data2$haldate)])
range(data2$oiddate[complete.cases(data2$oiddate)])
Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260
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