I am so frustrated about reading data from this sample csv file.
My code is :
>test=read.csv(file='test.csv',header=T)
warning message:
In read.table(file = file, header = header, sep = sep, quote = quote, :
incomplete final line found by readTableHeader on 'test.csv'
>test
[1] ÐÏ.à..
<0 ro
Hi,
I need to regress the population on time slot and also days in advance.
A sample dataset is like this. I do not know whether I can attach a file in
this mailing list or not. If you know how to do it, I will be happy to send
you my data file.
time slot days in advance US EURCHIN
Hi,
I need to regress the population on time slot and also days in advance.
A sample dataset is like this. I do not know whether I can attach a file in
this mailing list or not. If you know how to do it, I will be happy to send
you my data file.
time slot days in advance US EURCHINA
Hi, folks
linmod=y~x+z
summary(linmod)
The summary of linmod shows the standard error of the coefficients. How can
we get the sd of y and the robust standard errors in R?
Thanks!
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R-help@r-project.org ma
Hi, folks,
test=matrix(rep(letters[1:3],6),nrow=6,byrow=T)
test[2,]=letters[5:7]
test[4,]=c('e','f','i')
test[1,3]='i'
colnames(test)=c('leave','arrive','line')
The code will generate a sample dataset. I have thousands rows of data.
For the same 'leave' and 'arrive', how can I get the sum of squ
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