-
> Gregory (Greg) L. Snow Ph.D.
> Statistical Data Center
> Intermountain Healthcare
> greg.s...@imail.org
> 801.408.8111
>
>
> > -Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> > project.org] On Behalf Of Muzna Alv
I am using the following commands for plotting kernel density for three
kinds of crops
density(s22$Net_income_Total.1, bw="nrd0",adjust=1,
kernel=c("gaussian"))->t
plot(t, xlim=c(-3,4), main="Net Income Distribution", axes=F,
ylim=c(0,0.00035). xlab="Value in Rupees")
par(new=T)
density(s3
gt; column filled with identical values "crop_group".
>
> You really should read the posting guide and provide a reproducible
> example.
>
> I suspect that you would benefit from learning how to use the plyr library.
> --
> Sent from my Android phone with K-9 Mail. P
; see ?"[" and ?order
>
> HTH,
> Ista
>
> On Thu, Mar 10, 2011 at 2:20 PM, Muzna Alvi wrote:
> > I have a dataset that is based on crop output for a single crop
> > *sugarcane*...but
> > each observation is further subdivided into 3 kinds of sugarcane
> >
I have a dataset that is based on crop output for a single crop
*sugarcane*...but
each observation is further subdivided into 3 kinds of sugarcane
i have read the file and have also used melt it to sort it on the
basis of *crop
group* using
melt(sugarcane, m=c("Crop_group")) -> canefile
this is
I have this assignment to do and after ten hours of constant trying my eyes
ache and i give up..
all i'm able to get is this plot
please help me
these are the commands i have used till now
read.table(file.choose(), sep=";", header=T)
read.table(file.choose(), sep=";", header=T)->areas
melt(area
I have data on area under cultivation of a crops for 17 states..I need a
scatter plot to be made for the following assignment
Read the data file /Data/ep602/areas.csv, and make a scatter plot that
displays area under rice in 1960s on the x axis, and percentage change in
area under rice between 196
I'm havinf a problem with a simple file
i have the following data
State 1960 1970 1980 1990
1 All India 35988.70 37346.00 39707.30 42321.00
2Andhra Pradesh 3431.03 3163.27 3687.23 3695.63
3 Assam 1902.93 2001.60 2278.47 2525.33
4 Bihar 5277.07 513
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