[R] strings

[arun]

#or
 dat1$V2[is.na(match(dat1$V2,dat2$V2))]
#[1] "ALKBH1"  "ALKBH2"  "ANKRD17" "ASF1A"   "ASTE1"   "ATRX"    "ATXN3"  
#[8] "BCCIP"  
 a[is.na(match(a,b))]
#[1] 2 2 4
A.K.




----- Original Message -----
From: William Dunlap <wdunlap at tibco.com>
To: arun <smartpink111 at yahoo.com>; R help <r-help at r-project.org>
Cc: 
Sent: Thursday, May 23, 2013 3:18 PM
Subject: RE: [R] strings

You recommended
  > library(sqldf)
  > sqldf('SELECT * FROM dat1 EXCEPT SELECT * FROM dat2')

Using nothing but the core R packages setdiff() returns the difference between two sets.
  > setdiff(dat1$V2, dat2$V2)
  [1] "ALKBH1"  "ALKBH2"  "ANKRD17" "ASF1A"   "ASTE1"   "ATRX"    "ATXN3"   "BCCIP"
If there are possibly duplicates in dat1$V2, so it is not a "set", and you want the duplicates
in the result, use
  > dat1$V2[ !is.element(dat1$V2, dat2$V2) ]
[1] "ALKBH1"  "ALKBH2"  "ANKRD17" "ASF1A"   "ASTE1"   "ATRX"    "ATXN3"   "BCCIP"  

> a <- c(1, 2, 3, 2, 1, 4)
> b <- c(1, 3)
> setdiff(a, b)
[1] 2 4
> a[ !is.element(a, b) ]
[1] 2 2 4


Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf
> Of arun
> Sent: Thursday, May 23, 2013 12:05 PM
> To: R help
> Subject: Re: [R] strings
> 
> Hi,
> Try:
> 
> dat1<- structure(list(V2 = c("ALKBH1", "ALKBH2", "ALKBH3", "ANKRD17",
> "APEX1", "APEX2", "APTX", "ASF1A", "ASTE1", "ATM", "ATR", "ATRIP",
> "ATRX", "ATXN3", "BCCIP", "BLM", "BRCA1", "BRCA2")), .Names = "V2", class =
> "data.frame", row.names = c(NA,
> 18L))
> 
> 
> dat2<- structure(list(V2 = c("ALKBH3", "APEX1", "APEX2", "APLF", "APTX",
> "ATM", "ATR", "ATRIP", "BLM", "BRCA1", "BRCA2", "BRIP1", "BTBD12",
> "CCNH")), .Names = "V2", class = "data.frame", row.names = c(NA,
> 14L))
> 
> 
> library(sqldf)
> sqldf('SELECT * FROM dat1 EXCEPT SELECT * FROM dat2')
> #       V2
> #1  ALKBH1
> #2  ALKBH2
> #3 ANKRD17
> #4   ASF1A
> #5   ASTE1
> #6    ATRX
> #7   ATXN3
> #8   BCCIP
> 
> 
> 
> #or
> dat2$id<- 1
> res<-merge(dat1,dat2,all=TRUE)
> subset(res,is.na(res$id))[1]
> #        V2
> #1   ALKBH1
> #2   ALKBH2
> #4  ANKRD17
> #9    ASF1A
> #10   ASTE1
> #14    ATRX
> #15   ATXN3
> #16   BCCIP
> A.K.
> 
> 
> 
> 
> I have two files containing words. I want to print the are in file 1 but
> NOT in file 2.
> How do I go about?
> 
> file 1:
>  ABL1
> 1     ALKBH1
> 2     ALKBH2
> 3     ALKBH3
> 4    ANKRD17
> 5      APEX1
> 6      APEX2
> 7       APTX
> 8      ASF1A
> 9      ASTE1
> 10       ATM
> 11       ATR
> 12     ATRIP
> 13      ATRX
> 14     ATXN3
> 15     BCCIP
> 16       BLM
> 17     BRCA1
> 18     BRCA2
> 
> 
> file2:
>  ALKBH2
> 1    ALKBH3
> 2     APEX1
> 3     APEX2
> 4      APLF
> 5      APTX
> 6       ATM
> 7       ATR
> 8     ATRIP
> 9       BLM
> 10    BRCA1
> 11    BRCA2
> 12    BRIP1
> 13   BTBD12
> 14     CCNH
> 
> 
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