Macros To Clean, Summarize, And Merge Reaction Time Data Files

I need to use to prepare for analysis a large set of individual participants' Excel data files collected using a psychological reaction-time experiment (a modified Stroop task). This experiment was created using a program called Superlab by Cedrus, so I posted an inquiry at the Superlab forum [url]. Their tech support suggested I might need to use macros in Excel but couldn't offer further assistance. I'll try to briefly describe (a) our Stroop task, (b) the operations I'm trying to carry out, and (c) the format of the individual Excel files,

Our Stroop task: The participant gets some instructions and practice trials, then a series of stimulus words are presented one word at a time in the center of a computer monitor in one of several colors. Word presentation order is randomized for each participant. The participant must press a key corresponding to the color of each word as quickly as possible. For each keypress (including the spacebar, pressed on instructions screens), the reaction time (in msec) is recorded in their Excel spreadsheet under the 'Reaction Time' variable. The 'Error Code' variable indicates whether the participant pressed the correct (C) or incorrect (E) color key in each trial. There are 8 types of words for a total of 48 trials. (Actually, 4 sets of emotion words and 4 sets of control-animal words, each set composed of 6 words each. The task basically measures how much peoples� attention is captured by emotionally relevant cues in the environment.)

For each participant's data, I need an efficient way (macros?) to:
(1) clean it [i.e. discard or ignore the instruction & practice trials as well as trials where the participant was too impulsive (reaction time < 100 msec), too distracted (rt > 3000 msec), or gave the wrong color response (Error Code= E)]
(2) determine whether enough valid trials remain for further analysis (>39 trials), and if so:
(3) calculate a mean reaction time score for each of the 8 word types [where denominator for each word type is based on # remaining (non-discarded) trials for that word type]
(4) merge each participant's summarized data as single rows in a common spreadsheet (for importation and further analyses in SPSS), like this:
---------------------------
ID#...... MeanRTW1.......MeanRTW2...... (etc. for word types 3-8)
101.......1056................2013...............
102.......2148................2594...............
103...
---------------------------

Excel File Format: I've attached a sample file, and here's a simplified overview of a spreadsheet (irrelevant columns and some rows removed). First the ID number is recorded (e.g., 393E), then some unnecessary junk (exp name & date, intro, practice, instructions), then data for the 48 actual trials of interest:
-------------------------------------------
........A...............B..................C.................D............
1 393E
2 stroop.xpt
3 Wed Jan 1, 12:33:00 2008
4
5
6 Trial Name.....Trial No..... Error Code.....ReactionTime
7 introduction..... 1................C............561243
8 practice.......... 2................C............... 2062
9 red-worried........14.............C................1001 (*the first practice trial)
10 (9 more practice trial rows, deleted here)
19 instructions........3..............C................5000
20 red-chicken......19..............E............... 1205
21 blue-tense.......32...............C.................782
* (46 more actual trial rows, deleted here)
--------------------------------------------------

To clarify:
-The variable 'Trial Name' indicates nominally what stimulus was presented for each trial.
-The variable 'Trial No.', indicates the unique numerical marker for each stimulus word. (It probably should have been labeled 'Word Type'. It doesn't reflect the order of stimulus presentation. E.g., the word "tense" is always 'Trial No.' 32 for all participants, regardless of when it presents.)
-A subset of actual trial words (e.g., worried) were also used for the 10 practice trials. Thus, the 10 practice trials must first somehow be discarded or flagged to be ignored before calculating average reaction times for the remaining 48 actual trials.