Iterate by Factor - Newbie Question

I have end of semester teaching evaluation data of the following form:
head(evaluations)
Course Prefix Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14
1 2330301      2  4  3  3  3  4  4  1  2  5   4   1   1   1   1
2 2330301      2  3  3  3  3  3  5  1  2  5   8   1   1   1   1
3 2330301      2  4  4  3  3  4  4  2  2  5   9   1   1   1   1
4 2330301      2  2  1  1  3  4  5  1  2  5   8   1   1   1   1
5 2330301      2  4  3  4  4  4  3  1  3  5   8   1   3   1   1
6 2330301      2  3  4  2  2  4  2  2  2  5   9   1   1   1   1

There are 90 levels, representing each of the courses taught in my
college.  I have figured out how to process by level using:

# Read in raw data files
setwd("College\\Evals")
evaluations <- read.csv(file="spring2012.csv",head=TRUE,sep=",")

# Determine and display factors
courses = factor(evaluations$Course)
table(courses)

# Get summary statistics by factor
by(evaluations, courses, summary)

What I would like to do is create a separate printed page for each
course so that I can hand them out to the faculty.  I would like each
page to contain a title, the number of respondents, some summary
statistics, and a histogram.  I need to be able to use a second
dataframe containing the course (id), course title, and faculty member
name.  Despite a few hours of searching on Google and pecking away at
the keyboard, I have been unable to figure out how to replace
"summary" in the above "by" statement with a function that will accept
and process the necessary data.  Am I even on the right track?  Any
pointers will be greatly appreciated, this is my first foray into R.

Tom
--
Thomas A. Ottaway, Ph.D.
Interim Dean
Professor of Computer Information Systems
College of Business
Idaho State University
921 South 8th Street
Pocatello, ID  83209-8020
(208) 282-2601
Hard to tell without the rest of the data.  You can probably use
'merge' to add the data from the second file to the first.  If you
want printed pages, then you can just have a 'for' loop that goes
through the dataframe creating the lines of output you want on the
report and then insert a 'form feed' character between the pages and
then you just route the text file to a printer.

SO if this does not solve your problem, more information/detail would
be required.
I have end of semester teaching evaluation data of the following form:

head(evaluations)
   Course Prefix Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14
1 2330301      2  4  3  3  3  4  4  1  2  5   4   1   1   1   1
2 2330301      2  3  3  3  3  3  5  1  2  5   8   1   1   1   1
3 2330301      2  4  4  3  3  4  4  2  2  5   9   1   1   1   1
4 2330301      2  2  1  1  3  4  5  1  2  5   8   1   1   1   1
5 2330301      2  4  3  4  4  4  3  1  3  5   8   1   3   1   1
6 2330301      2  3  4  2  2  4  2  2  2  5   9   1   1   1   1

There are 90 levels, representing each of the courses taught in my
college.  I have figured out how to process by level using:

# Read in raw data files
setwd("College\\Evals")
evaluations <- read.csv(file="spring2012.csv",head=TRUE,sep=",")

# Determine and display factors
courses = factor(evaluations$Course)
table(courses)

# Get summary statistics by factor
by(evaluations, courses, summary)

What I would like to do is create a separate printed page for each
course so that I can hand them out to the faculty.  I would like each
page to contain a title, the number of respondents, some summary
statistics, and a histogram.  I need to be able to use a second
dataframe containing the course (id), course title, and faculty member
name.  Despite a few hours of searching on Google and pecking away at
the keyboard, I have been unable to figure out how to replace
"summary" in the above "by" statement with a function that will accept
and process the necessary data.  Am I even on the right track?  Any
pointers will be greatly appreciated, this is my first foray into R.

Tom
--
Thomas A. Ottaway, Ph.D.
Interim Dean
Professor of Computer Information Systems
College of Business
Idaho State University
921 South 8th Street
Pocatello, ID  83209-8020
(208) 282-2601

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