To add briefly to Dennis' comment. If landmark estimation is the route taken, 
both TPS-based and regression-based imputation are implemented in geomorph.

Dean

Dr. Dean C. Adams
Director of Graduate Education, EEB Program
Professor
Department of Ecology, Evolution, and Organismal Biology
Iowa State University
https://www.eeob.iastate.edu/faculty/adams/
phone: 515-294-3834

-----Original Message-----
From: morphmet <dsl...@morphometrics.org> 
Sent: Tuesday, May 7, 2019 8:18 AM
To: morphmet@morphometrics.org
Subject: Re: [MORPHMET] How to fix erroneous 3D coordinates took by microscribe

It depends on what is wrong with the data (I haven't checked it). 
Morpheus et al. can be used to correct data after visual inspection or mark bad 
data points as missing or delete whole sets of coordinates for particular 
points.

The easiest way to do this is to get the data into a form importable by 
Morpheus - NTSYSpc is the easiest, and import the data. You can then set up 
links between points (there is a menu option). Then, you can just page through 
the objects looking for one whose links are obviously wrong. You can then swap 
points (another menu option) until they are in the correct order. For this, it 
is useful to use the plot Opts button to set the point plotting symbol as 
"number", which locates the points with their number, e.g., "1", "2", etc.

You can also mark any offending points (with genuinely bad data) as "missing" 
or delete points/landmarks. If there are too few or too many, you can insert 
missing points (which will be marked as missing data) or delete specific points 
from specific objects.

Another suggestion to find objects with bad points is to do a PCA plot (I use 
R) to check for any outliers.

If there are a few scattered points with missing data at the end of all of 
this, the data can be filled in using missing data imputation - mean 
substitution is the only method currently implemented. Mean substitution 
generally does not affect parameter estimates, but does result in error 
estimates that are undervalued - there is more variance than apparent in the 
data since mean values were substituted for missing data.

-ds

PS: NTSYSpc format for import. On the first line, 1 is NTSYS for rectangular 
data matrix, n is for the number of objects in the file (you have to provide a 
number, not 'n'); a number representing the number of landmarks, p, times the 
number of dimensions, 3 in your case; and a '0' 
indicating there are no missing data in the data set. If there are missing 
data, then the '0' is replace by something like "1 -999", where the '1' 
indicates the presence of missing data and the next item, e.g., -999, is the 
code used to indicate missing data...

1 n nDimxp 0
x1 y1 z1
x2 y2 z2
...
xp yp zp

...repeated (except for the first line) for more objects

On 5/7/19 8:09 AM, Azadeh Mohaseb wrote:
> Dear all
> I am a post-doc researcher on GMM and I work on equids bones. Recently, I 
> digitized some modern equid bones by a microscribe and then I realized that 
> the 3d coordinates of some of these individuals are not correcte.
> As I don't have access to these bones to digitize them again, I wondered if 
> you could help me to fix this problem.
> I send you the correct coordinates of one individual and the incorrect 
> coordinates of another one. These two individuals have been digitized at the 
> same time, with same microscribe and the same settings on machine and 
> software.
> 
> Individual 1: correct
> 
> 228.6438      203.1991        156.5325
> 220.2511      204.6701        143.3459
> 223.9106      202.3835        121.6829
> 242.5923      225.1355        121.4050
> 240.4551      225.8690        136.0673
> 238.9128      226.4731        141.2689
> 240.9662      226.0292        146.4538
> 243.8571      223.4773        158.7283
> 248.3989      203.3913        162.7939
> 247.9284      204.2474        147.2226
> 249.7594      202.0327        140.3145
> 247.2640      205.0845        134.1143
> 246.3540      204.5467        115.9491
> 88.1469               334.5199        162.2996
> 79.0490               330.4259        152.7271
> 74.0790               325.4809        142.4243
> 79.8139               324.6076        119.4693
> 86.4637               331.0746        115.0139
> 88.8453               333.9695        120.4097
> 87.0741               333.9286        128.0646
> 85.8100               336.1603        144.5840
> 83.5972               335.3779        150.5125
> 90.8324               337.0566        156.8697
> 92.3339               337.9303        154.1111
> 87.5753               339.9321        145.9987
> 93.6211               346.3407        145.2005
> 98.7993               344.1494        152.6361
> 89.2627               341.3373        127.1407
> 91.0691               339.7504        123.6672
> 94.9706               342.5350        123.9575
> 93.9787               344.1297        127.5435
> 
> Individual 2: incorrect
> 
> 117.1907      72.8549         331.5414
> 63.8556               106.7571        324.6544
> 64.2134               108.2755        327.6326
> 125.5818      22.1134         446.8474
> 117.3735      26.4359         458.0952
> 110.4884      27.9800         458.7083
> 111.1632      21.4185         461.2170
> 106.1536      18.8334         468.0809
> 71.8894               25.9454         248.6469
> 49.2014               61.3649         250.9960
> 50.9447               62.2230         251.7744
> 31.1992               99.5425         270.7333
> 38.6410               96.3750         268.3234
> 104.8402      76.1165         472.1013
> 104.0343      79.0076         464.1394
> 81.7345               108.8425        464.0654
> 85.9537               128.9866        461.4308
> 88.6260               142.0624        468.9539
> 96.1857               130.2672        474.6507
> 85.1190               135.9783        473.3503
> 79.3694               122.8234        477.4590
> 78.4327               115.8613        477.4715
> 84.2949               108.1328        485.4598
> 97.2760               93.4345         481.8105
> 89.2901               111.8870        483.4924
> 90.0784               117.8522        490.4405
> 91.4313               106.3994        494.9362
> 79.4173               144.0817        472.9395
> 88.3825               141.0176        474.3985
> 90.9274               140.2106        477.6371
> 85.2512               140.7932        478.2403
> 
> I would apreciate if somebody could help me.
> Please don't hesitate to ask me for more details.
> 
> King regards
> Azadeh
> 
> 

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