Model – Vernier LabQuest 2 User Manual
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Interpolate from the Analyze menu, then tap on the graph. The lines associated with the
Examine cursor now locate a position on the fitted function. Coordinates along the fitted
line are shown in the panel to the right of the graph. You can tell that LabQuest is in the
Interpolation mode by the square Examine cursor.
•
Model
–The Model tool manually fits a chosen
function to your data. Choose Model from the
Analyze menu, then choose the desired model
equation from the Model Equation list.
LabQuest displays the modeled function in the
preview graph at left.
The model parameters (e.g., A, B, and C) are
adjustable. Change them by direct entry or by
using the arrows.
Tap OK to keep this function and display the modeled function on the Graph screen. To
exit the Model tool without applying the function, tap Cancel.
Tip: If no function appears when modeling, your parameters are defining a curve that is
outside of the plot window.
•
Advanced
– Choose Advanced from the Analyze
menu to access advanced analysis tools
including a Baseline Adjustment, Fast Fourier
Transform (FFT), and Peak Integration.
o
Baseline Adjustment
– This tool applies
a factor that raises or lowers the x-axis.
Because LabQuest App uses the x-axis
as its baseline when calculating an
integral, adjusting the baseline may
result in a better integral. This tool is typically used when analyzing Spirometer
data.
o
FFT
– The FFT tool calculates a Fast
Fourier Transform of the selected data.
The FFT is displayed in a separate graph
that can be analyzed. Tap OK to return to
the main graph. The peak frequency will
be displayed on the graph legend. The
FFT tool is typically used when
analyzing Microphone data. For more
information, see:
o
Peak Integration
– This tool calculates the integral for a selected portion of a
graph. It is most commonly used with the Vernier Mini GC, but it can be applied
to any data plot. Peak Integration differs from the Integral tool in that it does not
use the x-axis as the baseline. Instead, the integral for Peak Integration is
evaluated from the minimum y-values to the left and right of a selected peak.