-c(1:6)
> a_df<-data.frame(cbind(id,f1,"y1",a))
> id<-c(1:9)
> b_df<-data.frame(cbind(id,f1,"y2",b))
>
> But I don't understand the "nested" databases.
> I see that both have f1 variable but I do not see f2 variable in any of
> them. S
I have two nested data frames:
a<-rnorm(6)
b<-rnorm(9)
f1<-c("x1","x2","x3"))
f2<-c("y1","y2")
id<-c(1:6)
a_df<-data.frame(cbind(id,f1,"y1",a))
id<-c(1:9)
b_df<-data.frame(cbind(id,f1,"y2",b))
I want to preserve id and f1, but want to collapse f2 and take the
corresponding mean values of a and b.
in another dataframe.
Gordon
On Sat, Mar 13, 2010 at 7:54 PM, Junqian Gordon Xu wrote:
> I have a multilevel dataframe (df):
>
> ID Date Segment Slice Tract Lesion
> 1 CSPP005 12/4/2007 1 1 LCST 0
> 2 CSPP005 12/4/2007 1 1 LP
es you want to
> transform.
>
> On Sat, Mar 13, 2010 at 8:54 PM, Junqian Gordon Xu wrote:
>>
>> I have a multilevel dataframe (df):
>>
>> ID Date Segment Slice Tract Lesion
>> 1 CSPP005 12/4/2007 1 1 LCST 0
>
I have a multilevel dataframe (df):
ID Date Segment Slice Tract Lesion
1 CSPP005 12/4/2007 1 1 LCST 0
2 CSPP005 12/4/2007 1 1 LPC 2
3 CSPP005 12/4/2007 1 1 RPC 3
4 CSPP005 12/4/2007 1 1 R
is.
On Sat, Jul 25, 2009 at 4:32 AM, Junqian Gordon Xu wrote:
Actually when I read the spreadsheet from cvs file, "S1-[abcd]" are the
header and "T1-[abcd]" are the strings in first column of the data frame.
Gordon
On 07/25/2009 03:13 AM, jim holtman wrote:
It it not entirely
frame that you would like to separate into several different one
based on the value in a column, then something like this will work:
df.list <- split(yourDF, yourDF$column)
This will create a list of dataframes, split according to the contents
of "column".
On Fri, Jul 24, 2009 at 9:2
I have a multidimensional data which looks like the following:
"S1-a" "S2-b" "S3-c" "S4-d" "S5-a" "S6-b" "S7-c" "S8-d"
"T1-A"
"T1-B"
"T1-C"
"T1-D"
"T2-A"
"T2-B"
"T2-C"
"T2-D"
I read it from csv file and would like to have 16 separate data frames
like this
"S1-a" "S2-a" "S1-b"
package: psych
function: error.bars()
R version: 2.9.1
OS: both linux and windows
a<-c(1,2,3,4,5)
b<-c(1,2,3,4,4)
c<-c(1,2,3,NA,5)
data<-data.frame(a,b,c)
error.bars(data[,1:2],ylim=c(0,6)) looks fine
however
error.bars(data,ylim=c(0.6))
shows multiple error bars for each vector and the num
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