1. Everything You Need in One Simple Overview…. July 27, 2016
Rocketfish User Guide
Everything You Need in One Simple Overview….
July 27, 2016

2. Table of Contents Installation Instructions Layout of Dataset View
Layout of Main View
Features
Derive Functions
Contact Us Information

3. Installation Instructions
For Windows:
Download a copy Rocketfish.zip
Copy Rocketfish.zip into an easy to find folder
Extract the Rocketfish ZIP file
Open Rocketfish folder(s)
Run the Rocketfish Application
For Mac:
Download a copy of Rocketfish.dmg
The .dmg file should open itself, but if it doesn't click to open the .dmg file
Drag Rocketfish into your Applications folder
Press "Ctrl" and click "Eject Rocketfish"
Go to your Applications folder  

4. Rocketfish Dataset Layout
Datasets
Access Records
Sort Records
Rename Records
Delete Records
Action Toolbar

5. Rocketfish Main View Layout
Ready Data
Profile Values
Preview Actions
Filter Records
Preparation
“Preps”
Review, Undo, and Audit
Actions
Codebook
List, Describe, and Annotate Variables
Action Toolbar

6. Rocketfish Features (1 or 2)
Add Records (Append)
Add records from one dataset to another using Append. Rocketfish helps you by automatically mapping variables with the same name in both datasets. If matching variables are named differently, then you can match the variables manually:
Set the variable mapping in Codebook pane
See the results dynamically in Ready Data pane
Review mapped variables and data source in Preps pane
Join Datasets
Add variables from one dataset to another using Join Datasets. Rocketfish makes it easy to set foreign keys (lookup variables) and select variables to include in your dataset:
Set the foreign keys and select variables in Codebook pane
See the results dynamically in Ready Data pane
Review foreign keys, variables, and data source in Preps pane

7. Rocketfish Features (2 or 2)
Derive Variable (Calculate)
Calculate new variables using Derive Variable. Rocketfish enables you to use standard functions to normalize variables, perform unit conversion, and generate new variables to prepare datasets for analysis and reporting:
Name and define derived variable functions in Codebook pane
See the resulting calculations dynamically in Ready Data pane
Review derived variable functions in Preps pane
Aggregate (Observations)
Generate basic statistics of records in your data using Aggregate. Rocketfish makes it simple for you to aggregate records to higher levels of observation. Take means of samples, sums of measurements, and count the number of instances in your dataset by selecting which variables to group-by and aggregate:
Select functions, group-by and aggregate variables in Codebook pane
See the results dynamically calculated in Ready Data pane
Review functions, group-by and aggregate variables in Preps pane

8. Derive Functions Operator Description Syntax + a + b - a - b * a * b /
Addition operation (binary)
a + b -
Subtraction operation (binary)
a - b *
Multiplication operation (binary)
a * b /
Division operation (binary)
a / b
pow
Exponentiation function. Raises first parameter to the power of the second.
pow(a,b)
exp
Exponentiation function for raising e to the power of a number.
exp(a) ln
Natural logarithm.
ln(value)
log
Base 10 logarithm.
log(value)
Arbitrary base logarithm.
log(value,base)
min
Get the minimal value of a list of numbers.
min(a,b,...)
max
Get the maximal value of a list of numbers.
sum
Sum function. Adds all parameters together.
sum(a,b,...)
mean
Calculate the mean average of a list of numbers.
mean(a,b,...)
variance
Calculate the variance of a list of numbers.
variance(a,b,...)
stdev
Calculate the standard deviation of a list of numbers.
stdev(a,b,...)
pvalue
Calculate the p-value of a two-sample, two-tailed t-test. Requires two arrays of numbers that must contain at least 2 samples each.
pvalue( [a1,b1,...], [a2,b2,...] )

9. Contact Info
For any questions, partnering, or purchasing information please contact:
John Johnson, Co-Founder
...or check out our website: