Forgot to suggest: if labSt is the 1st column in your file, you could
just add "row.names = 1" to your read.csv call.
On Mon, Nov 28, 2011 at 8:06 PM, Florent D. wrote:
> Unlike a data.frame, a matrix can only hold one type of data. Since
> you have a column of characters ("labSt") in your origin
Unlike a data.frame, a matrix can only hold one type of data. Since
you have a column of characters ("labSt") in your original data,
turning it into a matrix will give you a matrix of characters. You can
check it is the case by asking class(DF.m[1,1]).
So you'll have to remove this labSt column be
Hi all,
i have a data set cintaining 14 columns and 11 rows. Rows represent single
point and columns represent the parameter measured.
I wiuld like to compare the data to see which are more alike. I used the
cluster analysis, but now i ma wondering if there are some other methods, since
Thank you all for your help and suggestions.
L
On Sun, Apr 18, 2010 at 8:51 PM, Tal Galili wrote:
> Would:
> ?merge
> Work for you ?
>
>
> Contact
> Details:---
> Contact me: tal.gal...@gmail.com | 972-52-7275845
> Read me: www
Would:
?merge
Work for you ?
Contact
Details:---
Contact me: tal.gal...@gmail.com | 972-52-7275845
Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
www.r-statistics.com (English)
---
Dear very helpful friends,
It is Sunday, there is no air traffic in Europe, what better to do
than try and learn me some more R.
I have the following example:
owner <- c(1:4)
animal <- c("cat", "dog", "cat", "dog")
char.1 <- c("fluffy", "playful", "mean", "stupid")
food <- c("cat food", "left-ove
Hi All,
I found a solution that give the correct answer..
year <- c(2100:2110)
x1 <- c(F,T,T,F,F,F,T,F,T,T,F)
df1 <- data.frame(cbind(year, x1))
df1$subject <- c(1,1,1,2,2,3,3,3,3,4,4)
df1$match <- 1
df1$key <- paste(df1$subject, df1$match, sep="") ; df1
df2 <- data.frame(cbind(year, x1))
df2$
Hi R users,
I am trying to compare 2 data frames by subject and match and save the no
matches to an object called nomatch, but I am getting unexpected results...
Can anyone tell me how to correct the code to get the expected results shown
in the last table?
Many thanks in advance for your any h
Hello,
I've got a function f(x) with this function. For x in -2 : 2 i've
generated a vector y with function values. There is also a data set and
I've constructed an estimator which should find values similar to y.
My question is, what is the best way to compare these vectors?
A simple exampl
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