'import.spss reads an SPSS file, converts the output from a list to a data frame,
and changes the variable names to lower case.
Arguments:
'file' = SPSS data file to be transformed to an R data file.
'use.value.labels = TRUE' (default) if SPSS variables with value labels are automatically converted
to R factors; if 'use.value.labels == FALSE', the variables are loaded with their numeric values.
'factor.vars = NA' (default) if the default conversions of SPSS variables to R factors is acceptable;
If 'is.na(factor.vars) == FALSE', 'factor.vars' must be a boolean vector of length equal to the number
of SPSS variables.  'factor.vars' lets the user specify exactly which SPSS variables are to be
converted to R factors.  if 'factor.vars' is not NA, then it's settings override the settings
of 'use.value.labels' and 'string.to.factor'.
'lower.names == TRUE' (default) if R variable names are converted to lower case; FALSE if not.
'string.to.factor == FALSE' (default) if SPSS string variables are to be
converted to character variables; 'string.to.factor = TRUE' if SPSS
string variables are to be converted to factor variables.

ls.jm outputs a vector of object names for objects in an environment on the search path.  It is essentially the same as ls except that the formatting is tailored to JM's preferences.  
 
ls.jm(x = 1, all.names = TRUE, pattern = "", ncol = NA, display.std = 85, 
grouped = FALSE, n.per.screen = 45, ...)

ARGUMENTS:
x: x is the position in the search path whose objects are to be displayed.  x can be set either as a digit or as the character name of the environment.

all.names: all.names = TRUE (default) requests that hidden objects be displayed (objects whose names start with ..  all.names = FALSE requests that hidden objects not be displayed.  

pattern: pattern is a character pattern to be passed to ls, e.g., if pattern = "enc", then ls.jm will output all objects whose names contain "enc".  At present, ls.jm is not written to select only object names that start with a particular character string or end with a particular character string.  

ncol: ncol controls the number of columns in the output.

display.std: display.std controls the number of characters across on the screen of the current computer.  display.std = 85 is the default because this works on the Samsung laptop.  display.std has no effect when grouped = TRUE.  

grouped: If grouped = FALSE (default), then the output is organized into a dataframe with ncol columns.  If grouped = TRUE, then the objects names are subsetted into vectors of length n.per.screen (defaults to 45), and then outputted to the computer screen.  In this case, each group of output pauses for user input before the next group of output.