Displaying 7 results from an estimated 7 matches for "khn".
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chn
2018 May 02
2
Merging dataframes
...le_A:
Email Name Phone
abc at gmail.com John Chan 0909
bcd at yahoo.com Tim Ma 89089
......
Table_B:
Email Name Sex Phone
abc at gmail.com John Chan M 0909
khn at hotmail.com Rosy Kim F 7779
.....
Now, I have used -
merge (Table_A, Table_B, by="Email", all = FALSE))
- to find only the rows that match from these data frames - based on Email
as primary key.
Further, I am also interested (using...
2018 May 02
0
Merging dataframes
...t;- rbind(Table_A, c('bcd at yahoo.com', 'Tim Ma', '89089'))
colnames(Table_A) <- c('Email', 'Name', 'Phone')
Table_A
Table_B <- c('abc at gmail.com', 'John Chan', 'M', '0909')
Table_B <- rbind(Table_B, c('khn at hotmail.com', 'Rosy Kim', 'F', '7779'))
colnames(Table_B) <- c('Email', 'Name', 'Sex', 'Phone')
Table_B
Did you have a look at this one?
Table_C <- merge (Table_A, Table_B, by="Email", all = TRUE)
Table_C[is.na(Table_C...
2018 May 02
0
Merging dataframes
...mailto:abc at gmail.com> John Chan 0909
bcd at yahoo.com<mailto:bcd at yahoo.com> Tim Ma 89089
......
Table_B:
Email Name Sex Phone
abc at gmail.com<mailto:abc at gmail.com> John Chan M 0909
khn at hotmail.com<mailto:khn at hotmail.com> Rosy M F 7779
.....
Now, I have used -
merge (Table_A, Table_B, by="Email", all = FALSE))
- to find only the rows that match from these data frames.
Further, I am also interested (using "Ema...
2018 May 01
4
Merging dataframes
Hi,
May I please ask how I do the following in R. Sorry - this may be trivial,
but I am struggling here for this.
For two dataframes (A and B), I wish to identify (based on a primary
key-column present in both A & B) -
1. Which records (rows) of A did not match with B, and
2. Which records of B did not match with A ?
I came across a setdt function while browsing, but when I tried
2004 Jun 07
0
authentication, pam, etc.
...es
create mode = 0755
hide dot files = yes
guest ok = no
[web]
comment = WWW Folder
; invalid users =
valid users = @www
path = /usr/central/www
browseable = yes
writeable = yes
guest ok = no
[astro104]
comment = Astro104 web folder
valid users = wharris khn
path = /usr/users/astro104
browseable = yes
write OK = yes
read only = no
create mode = 0755
hide dot files = no
guest ok = no
[shared]
comment = Shared Folders
path = /usr/central/pc/shared
browseable = yes
writable = yes
create mode = 0755
follow symlinks...
2004 Jun 08
0
authentication, pam, etc. (more)
...es
create mode = 0755
hide dot files = yes
guest ok = no
[web]
comment = WWW Folder
; invalid users =
valid users = @www
path = /usr/central/www
browseable = yes
writeable = yes
guest ok = no
[astro104]
comment = Astro104 web folder
valid users = wharris khn
path = /usr/users/astro104
browseable = yes
write OK = yes
read only = no
create mode = 0755
hide dot files = no
guest ok = no
[shared]
comment = Shared Folders
path = /usr/central/pc/shared
browseable = yes
writable = yes
create mode = 0755
follow symlinks...
2011 Jul 19
2
strang behaviour of mice package
I am using mice package for multiple imputation. For one data
(attached), mice doesn't impute all missing values. Specifically, some
variables were not imputed at all.
the reproducible code
library(mice)
test.df<-read.table(c:\\test.txt',header=T,sep=',')
mi<-mice(test.df,maxit=10,m=5)
sum(is.na(complete(mi,1)))
>129
and x41, x50... were not imputed at all.
Any