It sounds like something is going wrong with the melting. Could you
please include the output of str(original data frame), and
str(melted)? (Or even better a small version of your data created
with dput)
And this is a str output of the original data frame (first few rows of that
Dear all,
I have used 'read.table' to create a data frame of 720 columns and 360 rows
(and assigned this to 'Jan'). The row and column names are numeric:
columnnames - sprintf(%.2f, seq(from = -179.75, to = 179.75, length =
720)).
rnames - sprintf(%.2f, seq(from = -89.75, to = 89.75,
On 6/17/2008 6:59 AM, Steve Murray wrote:
Dear all,
I have used 'read.table' to create a data frame of 720 columns and 360 rows
(and assigned this to 'Jan'). The row and column names are numeric:
columnnames - sprintf(%.2f, seq(from = -179.75, to = 179.75, length = 720)).
rnames -
On Jun 17, 2008, at 8:06 AM, Chuck Cleland wrote:
On 6/17/2008 6:59 AM, Steve Murray wrote:
Dear all,
I have used 'read.table' to create a data frame of 720 columns and
360 rows (and assigned this to 'Jan'). The row and column names
are numeric:
columnnames - sprintf(%.2f, seq(from =
On Tue, Jun 17, 2008 at 5:59 AM, Steve Murray [EMAIL PROTECTED] wrote:
Dear all,
I have used 'read.table' to create a data frame of 720 columns and 360 rows
(and assigned this to 'Jan'). The row and column names are numeric:
columnnames - sprintf(%.2f, seq(from = -179.75, to = 179.75,
Dear all,
Many thanks for the suggestions put forward. I've decided to go with the 'melt'
command from the 'reshape' library, as this seems to run the quickest.
I do have a couple of questions however, regarding the use of the 'melt'
command. Below are the last few lines of the 'melted' data.
On Tue, Jun 17, 2008 at 1:47 PM, Steve Murray [EMAIL PROTECTED] wrote:
Dear all,
Many thanks for the suggestions put forward. I've decided to go with the
'melt' command from the 'reshape' library, as this seems to run the quickest.
I do have a couple of questions however, regarding the use
Dear all,
Many thanks for the suggestions put forward. I've decided to go with the
'melt' command from the 'reshape' library, as this seems to run the
quickest.
I do have a couple of questions however, regarding the use of the 'melt'
command. Below are the last few lines of
It sounds like something is going wrong with the melting. Could you
please include the output of str(original data frame), and
str(melted)? (Or even better a small version of your data created
with dput)
And this is a str output of the original data frame (first few rows of that
displayed
9 matches
Mail list logo