[R] About truncated distribution

2006-09-12 Thread jennystadt 
Hi All,

I tried RSiteSearch('truncated distribution') , and found a lot of threads on 
'fitting truncated normal distribution'. No doubt they are all helpful in 
fitting the distribution based on the data of known original mean and sd.

But my question is a bit different. What I know is the mean and sd after 
truncation. If I assume the distribution is normal, how I am gonna develope the 
original distribution using this two parameters? Could anybody give me some 
advice? Thanks in advance!

Jen

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[R] About truncated distribution

2006-09-12 Thread jennystadt 
Dear listers,

I tried RSiteSearch('truncated distribution') , and found a lot of threads on 
'fitting truncated normal distribution'. No doubt they are all helpful in 
fitting the distribution based on the data of known original mean and sd.

But my question is a bit different. What I know is the mean and sd after 
truncation. If I assume the distribution is normal, how I am gonna develope the 
original distribution using this two parameters? Could anybody give me some 
advice? Thanks in advance!

Jen

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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

[R] Plot y ~ x under condition of variable a and b

2006-08-25 Thread jennystadt 


Hi All,

I want to plot y~ x under the condition of variable a and b. Followed is the 
dataset:

 plotid lndenlnvol source
369  9037.0 10.419002 -4.101039226  S
370  9037.0  9.840548 -2.432385723  S
371  9037.0  8.973351 -1.374842169  S
372  9037.0  8.242756 -0.813800113  S
373  9037.0  8.006368 -0.366743413  S
374  9037.0  7.396335 -0.041375532  S
375  9037.0  6.194405  0.744573249  S
376  9038.0 10.417209 -2.938129138  S
377  9038.0  9.709296 -1.906228589  S
378  9038.0  8.581107 -1.187441385  S
379  9038.0  7.539027 -0.748873856  S
380  9038.0  6.866933 -0.228547521  S
381  9038.0  6.672033  0.222818889  S
382  9038.0  6.380123  0.863026089  S
11003.1  7.281089  5.563470357  P
21003.1  7.165854  5.587837467  P
31003.1  7.126938  5.604757978  P
41003.1  6.833951  5.709078555  P
560 3.1  6.634462  5.678818058  P
610 3.2  7.052830  5.534234273  P
710 3.2  6.905777  5.559511276  P
810 3.2  6.885776  5.590614404  P
910 3.2  6.685106  5.716040812  P
10103.2  6.495349  5.631784504  P
11103.3  6.697376  5.414815010  P
12103.3  6.553336  5.441823472  P
13103.3  6.581116  5.455788329  P
14103.3  6.279641  5.543868038  P
15103.3  6.119298  5.528003301  P
16103.4  7.035589  5.783924732  P
17103.4  6.875624  5.798852319  P
18103.4  6.812445  5.807787244  P

I used  par.plot(lnvol~lnden|source,data=dat,sub=as.factor(plotid),col=T);  It 
gave good plots, but it put the different data sources to separated graphs, 
i.e. S and P. What I want is to plot them on the same graph. If anyone has the 
experience in doing plotting like this, please kindly give me some hints. 
Thanks!

Jen.

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