Hi Meil,
Looks like the old fancy quote problem. You aren't cutting and pasting
text from Word are you?
Jim
On Mon, Jun 12, 2017 at 11:39 AM, Neil Salkind wrote:
> Please excuse the naive question but my first hour with RStudio, resulted in
> this…
>
>> data()
>> data(“women”)
> Error: unexpect
Please excuse the naive question but my first hour with RStudio, resulted in
this…
> data()
> data(“women”)
Error: unexpected input in "data(�”
So,that did not work but
>data(women)
without the quotes did.
Would someone be so kind as to explain the function of quotes in RStudio?
Thanks, Nei
Dear All,
I have a file data.txt as follows:
Name_1,A,B,C
Name_2,E,F
Name_3,I,J,I,K,L,M
I will read this with:
my_data<- read.csv("data.txt",header=FALSE,col.names=paste0("V",
seq(1:10)),fill=TRUE)
Then the file will have 10 columns. I am assuming that each row in data.txt
will have at the max
Hello all,
I am relatively new to R, but enjoying it very much. I am hoping that
someone on this list can help me with an issue I am having.
I am having issues with iterations over nleqslv, in that the solver
does not appear to clean up memory used in previous iterations. I
believe I've isolated
Hello,
Your code throws an error before the line you've mentioned:
> library(plspm)
>
> "Attitude" = c(1, 0, 0, 0, 0, 0, 0, 0)
>
> "Normative Beliefs" = c(1, 0, 0, 0, 0, 0, 0, 0)
>
> "Subjective Norm" = c(0, 0, 1, 0, 0, 0, 0, 0)
>
> "Control Beliefs" = c(1, 0, 1, 0, 0, 0, 0, 0)
>
> "Perceived Be
You need to first go through a basic tutorial to learn basic R
constructs and functionality. IMHO, fooling around with special
packages before you learn the basics is a bad strategy. Packages
generally assume you know the basics.
Some tutorial recommendations can be found here:
https://www.rstudi
Hello,
I am new to R and hope I will not seem ignorant in this post. I am
currently using the plspm package by Gaston Sanchez accompanied by his
text book.
I have attempted to create a square matrix, which has seemed
successful. I used the following code:
> "Attitude" = c(1, 0, 0, 0, 0, 0, 0, 0)
The usual way I filter is:
KL$Dt <- as.Date( KL$date, format='%d-%m-%y' )
KL2 <- KL[ !is.na( KL$Dt ), ]
--
Sent from my phone. Please excuse my brevity.
On June 10, 2017 10:17:52 PM PDT, Jeff Newmiller
wrote:
>You are using a slash in your format string to separate sub-fields but
>your data u
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