4 Misc_Start V 4 Platform V@
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x H H @Rg( H H ( d h ' & ROGI 'H H R @ @
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x H H d dg( H H ( d h I' ' ROGI 'H H d d d
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5A %hd:Old Stuff:2012:2012-01-30:lcrilley l c r i l l e y h d "Old Stuff/2012/2012-01-30/lcrilley / RecentWindows Documentation Graphics.ihf Help Browser Igor Reference.ihf Programming.ihf Statistics.ihf Table0:date_time,conc Using Igor.ihf 4 Misc_End V t XOPState_Start @ V Data Browser a t e _ t i m e Gizmo n c erence.ihf ProgrPeakFunctions2 stics.ihf Table0GetInputState Using Igor.ihf SQL 12/2012-01-30/lcXMLutils / XStructFit Y .jobtiXTest XTest3 [# h d "Old StXTestStructs t ey 4 XOPState_End V f V_Flag ? V_npnts G@ V_numNaNs ? V_numINFs V_avg +? V_Sum 2R;@ V_sdev <
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Delimited text load from "Hendraweek1.csv"
Data length: 1171, waves: date_time, conc
Duplicate /O date_time, timeOfDaySorted // To be sorted soon
Duplicate /O conc, concSorted // To be sorted soon
timeOfDaySorted = mod(timeOfDaySorted, 24*60*60) // Remove date leaving only time-of-day
Sort {timeOfDaySorted,date_time}, timeOfDaySorted, concSorted // Sort by timeOfDay, then by date
Edit timeOfDaySorted, concSorted as "Sorted"
CalcConcentrationStats(timeOfDaySorted, concSorted, 60)
EditConcentrationStats(concStats)
DisplayConcentrationStats(timeOfDaySorted, concSorted, concStats)
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B H H H H $ $ ^ b n Z D ($ $ ( % % % % % % % 0 The task is to take concentration versus date/time data and produce a graph showing statistics on the data binned by time-of-day (ignoring the date). The bins consist of one-hour intervals.
First, I loaded the data using Data->Load Waves->Load Waves and selecting Delimited Text for File Type. This generated a command like this:
LoadWave/J/D/W/E=1/K=0
2 This data is already loaded into this experiment.
g $ You can execute the commands in blue below by selecting them in this notebook and pressing Ctrl-Enter.
$
w Upon loading the file I got a wave named date_time and a wave named conc. They are shown in this experiment in Table0.
^ I created copies of the input data which will be processed and sorted in the following steps:
= Duplicate /O date_time, timeOfDaySorted // To be sorted soon
5 Duplicate /O conc, concSorted // To be sorted soon
> I removed the date component of timeOfDaySorted by executing:
Y timeOfDaySorted = mod(timeOfDaySorted, 24*60*60) // Remove date leaving only time-of-day
6 I sorted the data first by time-of-day, then by date:
a Sort {timeOfDaySorted,date_time}, timeOfDaySorted, concSorted // Sort by timeOfDay, then by date
- To see what I had at this point, I executed:
- Edit timeOfDaySorted, concSorted as "Sorted"
I wrote a function, CalcConcentrationStats, to compute the average of the concentrations over each hour and to extract other statistics. It is long and fairly complicated and is in the procedure window of my Igor experiment.
I executed:
8 CalcConcentrationStats(timeOfDaySorted, concSorted, 60)
I To see a table of the results, I executed another function that I wrote:
" EditConcentrationStats(concStats)
j I then made a graph of the input data and the mean and standard deviation using another function I wrote:
B DisplayConcentrationStats(timeOfDaySorted, concSorted, concStats)
I then wrote a function that does all of this, starting from the raw date_time and conc waves. This function is named ProcessConcentrations.
H To try it, first kill the graph and all of the tables EXCEPT for Table0 (which contains the raw date_time and conc waves). Now, kill all unused waves by executing:
5 6 < KillWaves/A/Z
* Now run the master function by executing:
' ProcessConcentrations(date_time, conc)
Background Information
This experiment uses a lot of techniques and Igor concepts and you need to understand them in order to use it effectively. If you have not already done the first half of the Igor guided tour, you should do it now. Create a new experiment and then choose Help->Getting Started.
Notes on Usage
2$ The functions create output waves (timeOfDaySorted and concStat) with fixed names. This means that if you run CalcConcentrationStats or ProcessConcentrations, they will overwrite any previously-created results. To avoid this use . Store your raw data and processed output waves in a separate data folder.
$ To use the procedures in your own experiments it is easiest to save the procedure file as a "global procedure file". This means that Igor opens it at launch and keeps it open till you quit Igor. See for details.
Programming Notes
The CalcConcentrationStats procedure creates a 2D output wave. Its rows correspond to bins (time-of-day intervals) and its columns contain various statistics (e.g., mean, median, standard deviation).
$ In Igor, you can use a column of a 2D wave as a trace. This feature is utilized in DisplayConcentrationStats. To learn more about this, see .
The CalcConcentrationStats function assigns column dimension labels to the 2D output wave. It then uses these dimension labels in statements like:
" concStats[bin][%stddev] = V_sdev
^ $ %stddev means "the column whose dimension label is 'stddev'. To learn more about this, see .
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Y H The CalcConcentrationStats uses waveform assignment statements. See and for details.
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%" Data FoldersDisplayHelpTopic "Data Folders" # Subrange DisplayDisplayHelpTopic "Subrange Display" # Dimension LabelsDisplayHelpTopic "Dimension Labels" " 5 % % Waveform Arithmetic and AssignmentDisplayHelpTopic "Waveform Arithmetic and Assignment" 3 ! ! Multidimensional Wave AssignmentDisplayHelpTopic "Multidimensional Wave Assignment" $ Procedure WindowsDisplayHelpTopic "Procedure Windows" ? @! < @8 Geneva Monaco Courier Helvetica New York Palatino Times Chicago Symbol Osaka Avant Garde Times New Roman Arial Courier New AGaramond American Typewriter Light 2 ` ` Action0 Action1 Action2 Action3 Action4 Action5 // Platform=Macintosh, IGORVersion=6.230, architecture=Intel
Silent 101 // use | as bitwise or -- not comment.
NewPath/Z lcrilley "hd:Old Stuff:2012:2012-01-30:lcrilley:"
DefaultFont "Geneva"
MoveWindow/P -1216,35,-312,872
Table0()
MoveWindow/C 2,815,1206,1018
OpenNotebook/N=Documentation/W=(39,66,804,655)/J=66820 "Notebook1" as "Documentation"
Window Table0() : Table
PauseUpdate; Silent 1 // building window...
Edit/W=(5,44,502,541) date_time,conc
ModifyTable format(Point)=1,format(date_time)=8,width(date_time)=146
EndMacro
T #pragma rtGlobals=1 // Use modern global access method.
Function CalcConcentrationStats(sortedTimeOfDay, sortedConc, averagingIntervalInMinutes)
Wave sortedTimeOfDay // Time-of-day wave
Wave sortedConc // Concentration wave
Variable averagingIntervalInMinutes // Interval over which to average in minutes; e.g., 60 for 1 hour
Variable numBins = (24 * 60) / averagingIntervalInMinutes
Variable averagingIntervalInSeconds = averagingIntervalInMinutes * 60
// Make output waves
Variable numStatsColumns = 8
Make /O /D /N=(numBins,numStatsColumns) concStats = 0 // 2D wave
SetDimLabel 1, 0, Count, concStats // Column 0 is count of concentrations in bin
SetDimLabel 1, 1, First, concStats // Column 1 is first input point in bin
SetDimLabel 1, 2, Last, concStats // Column 2 is last input point in bin
SetDimLabel 1, 3, Min, concStats // Column 3 is median concentration for bin
SetDimLabel 1, 4, Max, concStats // Column 4 is median concentration for bin
SetDimLabel 1, 5, Mean, concStats // Column 5 is mean concentration for bin
SetDimLabel 1, 6, StdDev, concStats // Column 6 is standard deviation for bin
SetDimLabel 1, 7, Median, concStats // Column 7 is median concentration for bin
// Set X scaling such that the statistics for each bin fall in the middle of bin when graphed
SetScale/P x, averagingIntervalInSeconds/2, averagingIntervalInSeconds, "dat", concStats
// Preset columns of output
concStats[][%first] = -1
concStats[][%last] = -1
// Find the first and last point of each bin
Variable numInputPoints = numpnts(sortedTimeOfDay)
Variable i, bin, timeOfDay
for (i=0; i