R help - Nov 2003 - Newbie Help:: Honors Chem. Project:: How to use R instead of JMP IN and GraphicalAnalysis...

Greetings, and Salutations to the wonderful people of the R-Project!!!

I have a question:
    I use JMP IN and GraphicalAnalysis for my Honors Chem. Projects. I 
would like to be pointed in the right direction: I would like to know 
how to use R to obtain the same data I would if I were to use JMP IN and 
GraphicalAnalysis.

I would need to be able to do the following:

    produce a graphical depiction of :
       Oneway ANOVA
       Standard Deviation (Lines :JMPin)
       Means(Diamonds, Dots :JMPin)
       Data Points
       Standard Error (Bars/Lines :JMPin)
      
I would have to be able to "Fit X by Y" and make the X-axis
Proportional

I would need to obtain the following numerical data:
    <Summary of Fit>
    RSquare
    RSquare Adj
    Root Mean Square Error
    Mean of Response
    Observations (or Sum Wgts)
    <Analysis of Variance>
    Source   DF   Sum of Squares   Mean Square   F-Ratio
    Model
    Error
    C-Total
    <Means for Oneway ANOVA>
    Level    Number   Mean    Std-Error
    <Means and Std Deviations>
    Level   Number   Mean   Std-Dev   Std-Err-Mean

I would also need to produce data that would illustrate my precision of 
measurements and my accuracy of measurements... Either Graphically or 
Numerically or both...
My class uses %CV to illustrate precision where %CV= (sd()/mean)*100
But any or all other methods used to calculate precision (and accuracy) 
would be fine too...

<The above was to describe a replacement for JMP IN>

For a replacement for GraphicalAnalysis, I would need the following 
information:

    A graph that would have points depicting the data entered with  a 
"Fit Line"
    a "Curve Fit" that would be set for "Linear" a Linear
Equation...
    The "Liner Fit" would be depicted on the graph, the equation of
the
line in y =    mx+b format, the m(slope) of the line, the b(Y-intercept) 
of the line, and the Correlation [coefficient] of the line...
    I would have to be able to annotate the graph with my name, a title 
for the graph, the date, and the equation of the line...
    I would also need to be able to print out the dataset used to create 
the graph...
    also, I would need interpolative functionality: I would need to be 
able to figure out data while having only one known variable (ie.: we 
had to analyze the concentration of a pigment using a Spectrometer we 
had two variables: Concentration and Absorbance, several of the samples 
had "Unknown" concentrations while having known absorbances, we needed
to find their Concentrations by interpolating the "Linear Fit For: 
Spectrometer Data" which entailed finding the spot where Absorbance 
(foo) hit the line, then we would assign the (bar) value (x axis value 
to y value) to Concentration, the Unknowns are now known!!!

   
    
Many Thanks In Advance to the Kind peoples whom helped me find, and 
understand the information I requested!!!

See the "Manual" or "Publications" under
http://www.r-project.org/. Books with ref [4] and [9] under publications might
be of interest.
 

	-----Original Message----- 
	From: r-help-bounces at stat.math.ethz.ch on behalf of Aaron
"Snail:Lewis" Dinkin
	Sent: Sun 11/16/2003 1:04 PM 
	To: R-help at stat.math.ethz.ch; snail at nycap.rr.com 
	Cc: 
	Subject: [R] Newbie Help:: Honors Chem. Project:: How to use R instead of JMP
IN and GraphicalAnalysis...
	
	

	Greetings, and Salutations to the wonderful people of the R-Project!!!
	
	I have a question:
	    I use JMP IN and GraphicalAnalysis for my Honors Chem. Projects. I
	would like to be pointed in the right direction: I would like to know
	how to use R to obtain the same data I would if I were to use JMP IN and
	GraphicalAnalysis.
	
	I would need to be able to do the following:
	
	    produce a graphical depiction of :
	       Oneway ANOVA
	       Standard Deviation (Lines :JMPin)
	       Means(Diamonds, Dots :JMPin)
	       Data Points
	       Standard Error (Bars/Lines :JMPin)
	     
	I would have to be able to "Fit X by Y" and make the X-axis
Proportional
	
	I would need to obtain the following numerical data:
	    <Summary of Fit>
	    RSquare
	    RSquare Adj
	    Root Mean Square Error
	    Mean of Response
	    Observations (or Sum Wgts)
	    <Analysis of Variance>
	    Source   DF   Sum of Squares   Mean Square   F-Ratio
	    Model
	    Error
	    C-Total
	    <Means for Oneway ANOVA>
	    Level    Number   Mean    Std-Error
	    <Means and Std Deviations>
	    Level   Number   Mean   Std-Dev   Std-Err-Mean
	
	I would also need to produce data that would illustrate my precision of
	measurements and my accuracy of measurements... Either Graphically or
	Numerically or both...
	My class uses %CV to illustrate precision where %CV= (sd()/mean)*100
	But any or all other methods used to calculate precision (and accuracy)
	would be fine too...
	
	<The above was to describe a replacement for JMP IN>
	
	For a replacement for GraphicalAnalysis, I would need the following
	information:
	
	    A graph that would have points depicting the data entered with  a
	"Fit Line"
	    a "Curve Fit" that would be set for "Linear" a Linear
Equation...
	    The "Liner Fit" would be depicted on the graph, the equation of
the
	line in y =    mx+b format, the m(slope) of the line, the b(Y-intercept)
	of the line, and the Correlation [coefficient] of the line...
	    I would have to be able to annotate the graph with my name, a title
	for the graph, the date, and the equation of the line...
	    I would also need to be able to print out the dataset used to create
	the graph...
	    also, I would need interpolative functionality: I would need to be
	able to figure out data while having only one known variable (ie.: we
	had to analyze the concentration of a pigment using a Spectrometer we
	had two variables: Concentration and Absorbance, several of the samples
	had "Unknown" concentrations while having known absorbances, we
needed
	to find their Concentrations by interpolating the "Linear Fit For:
	Spectrometer Data" which entailed finding the spot where Absorbance
	(foo) hit the line, then we would assign the (bar) value (x axis value
	to y value) to Concentration, the Unknowns are now known!!!
	
	  
	   
	Many Thanks In Advance to the Kind peoples whom helped me find, and
	understand the information I requested!!!
	
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