I need help with replacing NaN with zero (the value '0') in my dataset.
The reason is that I can't get it to graph because of the NaN in the
dataset. I have tried:
data[is.nan(data)] - 0
that others have suggested in the help archives but this does nothing so
I am not sure what I am doing wrong.
Hi R users
Here is an example of my data (only a small part)
Year Season A_Time R_Time O_Time All_Time AandR_Time
A_number R_numberO_numberAandR_numberall_number
1999 Winter 9.590741 35.312963 42.759524 23.228431 18.164815
189
Hi R users
Here is an example of my data (only a small part)
Year Season A_Time R_Time O_Time All_Time AandR_Time
A_number R_numberO_numberAandR_numberall_number
1999 Winter 9.590741 35.312963 42.759524 23.228431 18.164815
18 9
with a legend for it at the side, is this possible?
And my other question is that there seems to be a gap between where the
bars start and the x-axis, it is kinda funny looking so is there anyway
to change this?
Thanks for all the help
On 12/19/07, Spilak,Jacqueline [Edm] [EMAIL PROTECTED] wrote:
Hi
Hi all
I can't find what I am looking for so I am asking here. I have a
dataset that looks something like this.
Year season percent_below
2000 Winter 6.9179870
2000 Spring 1.6829436
2000 Summer 1.8463501
2000 Autumn 3.8184993
2001 Winter 2.8832806
2001
Hi everyone
I need help with subseting a data set. In my dataset there is a
specific row that will either have a value or be blank. I would like to
subset (or split) the dataset into one dataset with the row that has the
value and another dataset that has just the blanks. Now the thing is
that
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