Hi
You said
When I asked this question, I used indent for readability.
So maybe it was added extra space.
I executed same command. It has no extra space.
str(s1)
'data.frame': 3 obs. of 4 variables:
$ ID : Factor w/ 3 levels "ID1","ID2","ID3": 1 2 3
$ VAL1: int 2 0 0
$ VAL2: int 2 3 2
$ VAL3: int 3 3 4
str(s2)
'data.frame': 3 obs. of 4 variables:
$ ID : Factor w/ 3 levels "ID1","ID2","ID3": 1 2 3
$ VAL1: int 0 0 0
$ VAL2: int 2 2 2
$ VAL3: int 3 3 2
That is why dput(s1) is always preferable for exchanging data instead of text in ***HTML formated*** mail.
Cheers
Petr
From: Hiroyuki Sato [mailto:hiroysato at gmail.com]
Sent: Monday, February 29, 2016 12:04 PM
To: PIKAL Petr; r-help at r-project.org
Subject: Re: [R] create function for compare two dataframe.
Hello Petr.
Thank you for replying.
Your step is better than my step!.
I added one step
ID variable df1 df2
1 ID1 VAL1 2 0
5 ID2 VAL2 3 2
9 ID3 VAL3 4 2
This output is what I wanted!!.
P.S.
When I asked this question, I used indent for readability.
So maybe it was added extra space.
I executed same command. It has no extra space.
str(s1)
'data.frame': 3 obs. of 4 variables:
$ ID : Factor w/ 3 levels "ID1","ID2","ID3": 1 2 3
$ VAL1: int 2 0 0
$ VAL2: int 2 3 2
$ VAL3: int 3 3 4
str(s2)
'data.frame': 3 obs. of 4 variables:
$ ID : Factor w/ 3 levels "ID1","ID2","ID3": 1 2 3
$ VAL1: int 0 0 0
$ VAL2: int 2 2 2
$ VAL3: int 3 3 2
Best regards.
2016?2?29?(?) 18:16 PIKAL Petr <petr.pikal at precheza.cz<mailto:petr.pikal at precheza.cz>>:
Hi
You does not need to create function, you can use functions already available.
ID variable df1 df2
1 ID1 VAL1 2 NA
2 ID1 VAL2 2 NA
3 ID1 VAL3 3 NA
4 ID2 VAL1 0 0
5 ID2 VAL2 3 2
6 ID2 VAL3 3 3
7 ID3 VAL1 0 0
8 ID3 VAL2 2 2
9 ID3 VAL3 4 2
10 ID1 VAL1 NA 0
11 ID1 VAL2 NA 2
12 ID1 VAL3 NA 3
This was the point that I was rather surprised but I found a reason. Your ID variable does not have 3 but four values - although ID1 looks the same, in one there is an extra space, therefore you have different ID1 in s1 from ID1 in s2.
That is why it is recommended to use dput() for exchanging data with others.
str(s)
'data.frame': 6 obs. of 5 variables:
$ ID : Factor w/ 4 levels " ID1"," ID2",..: 1 2 2 3 3 4
$ VAL1: int 2 0 0 0 0 0
$ VAL2: int 2 2 3 2 2 2
$ VAL3: int 3 3 3 2 4 3
$ dat : chr "df1" "df2" "df1" "df2" ...
s1$ID
[1] ID1 ID2 ID3
Levels: ID1 ID2 ID3
s2$ID
[1] ID1 ID2 ID3
Levels: ID2 ID3 ID1
str(s1)
'data.frame': 3 obs. of 5 variables:
$ ID : Factor w/ 3 levels " ID1"," ID2",..: 1 2 3
$ VAL1: int 2 0 0
$ VAL2: int 2 3 2
$ VAL3: int 3 3 4
$ dat : chr "df1" "df1" "df1"
str(s2)
'data.frame': 3 obs. of 5 variables:
$ ID : Factor w/ 3 levels " ID2"," ID3",..: 3 1 2
$ VAL1: int 0 0 0
$ VAL2: int 2 2 2
$ VAL3: int 3 3 2
$ dat : chr "df2" "df2" "df2"
Cheers
Petr
-----Original Message-----
From: R-help [mailto:r-help-bounces at r-project.org<mailto:r-help-bounces at r-project.org>] On Behalf Of
Hiroyuki Sato
Sent: Monday, February 29, 2016 9:44 AM
To: r-help at r-project.org<mailto:r-help at r-project.org>
Subject: [R] create function for compare two dataframe.
Hello
I would like to create a funciton which is create new dataframe for
compare reslut of two dataframes.
No. COLUMN DF1 DF2
"1" "VAL1" "2" "0" # <- compare ID1,VAL1
"2" "VAL2" "3" "2" # <- comapre ID2,VAL2
"3" "VAL3" "4" "2" # <- compare ID3,VAL3
s1 <- read.table("sample1.txt",header=T,sep=',')
s2 <- read.table("sample2.txt",header=T,sep=',')
comp_data(df1,df2)
sample1.txt
ID,VAL1,VAL2,VAL3
ID1,2,2,3
ID2,0,3,3
ID3,0,2,4
sample2.txt
ID1,0,2,3
ID2,0,2,3
ID3,0,2,2
I created the functions, but I got the following error.
Could you tell me how to add new frame data?
Or alternative way?
1: In `[<-.factor`(`*tmp*`, ri, value = "3") :
invalid factor level, NA generated
2: In `[<-.factor`(`*tmp*`, ri, value = "VAL3") :
invalid factor level, NA generated
3: In `[<-.factor`(`*tmp*`, ri, value = "4") :
invalid factor level, NA generated
comp_data <- function(df1,df2) {
#
# create null data.frame
out <- data.frame(matrix(rep(NA,4),nrow=1))[numeric(0), ]
colnames(out) <- c("ID","Site","df1","df2")
# column names
col_names <- colnames(df1)
# col_size
col_size <- ncol(df1)
row_size <- nrow(df1)
for( col in 2:col_size ){
for( row in 1:row_size ){
if( df1[row,col] != df2[row,col] ){
out <-
rbind(out,c(df1[row,1],col_names[col],df1[row,col],df2[row,col]))
}
}
}
out
}
Best regards.
[[alternative HTML version deleted]]
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V p??pad?, ?e je tento e-mail sou??st? obchodn?ho jedn?n?:
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- 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?.
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