I know that in the ned file, the following line can display a circle representing the transmission range of the vehicle.
#display("p=1025,1025;is=s;r=300");
How can I disable/enable this code from the cc file? Or is there another way to do it from the source code?
In C++ code of your module use the following commands:
to show a range:
getDisplayString().setTagArg("r", 0, 300);
to disable showing a range:
getDisplayString().removeTag("r");
References:
OMNeT++ Simulation Manual - Changing Display Strings at Runtime
OMNeT++ Simulation Manual - Appendix G: Display String Tags
Related
How to display all the numbers from a given matrix in Euler Math Toolbox? It doesn't seem to show more than 8 columns at a time, which isn't enough as I frequently need to view more than that.
Output I'm getting as of now:
The documentation says:
Large matrices or vectors might not print in full size. To change this, toggle the behavior with:
largematrices on
largematrices off
or use the operator showlarge.
showlarge random(10,10)
See:
showlarge (Basic Utilities)
The link in the above documentation link directs here:
function prefix showlarge (x$)
Prints large matrices in full.
By default EMT eclipses lines and rows of large matrices. This can be used to see the full matrix. If the parameter is a variable the variable name will be printed.
The default can be changed with largematrices on/off.
x=random(20,5); showlarge(x)
showlarge(random(20,5))
See:
largematrices (Euler Core),
show (Maxima Documentation)
In an old version of my code, I used to do a hardcopy() with a given resolution, ie:
frame = hardcopy(figHandle, ['-d' renderer], ['-r' num2str(round(pixelsperinch))]);
For reference, hardcopy saves a figure window to file.
Then I would typically perform:
ZZ = rgb2gray(frame) < 255/2;
se = strel('disk',diskSize);
ZZ2 = imdilate(ZZ,se); %perform dilation.
Surface = bwarea(ZZ2); %get estimated surface (in pixels)
This worked until I switched to Matlab 2017, in which the hardcopy() function is deprecated and we are left with the print() function instead.
I am unable to extract the data from figure handler at a specific resolution using print. I've tried many things, including:
frame = print(figHandle, '-opengl', strcat('-r',num2str(round(pixelsperinch))));
But it doesn't work. How can I overcome this?
EDIT
I don't want to 'save' nor create a figure file, my aim is to extract the data from the figure in order to mesure a surface after a dilation process. I just want to keep this information and since 'im processing a LOT of different trajectories (total is approx. 1e7 trajectories), i don't want to save each file to disk (this is costly, time execution speaking). I'm running this code on a remote server (without a graphic card).
The issue I'm struggling with is: "One or more output arguments not assigned during call to "varargout"."
getframe() does not allow for setting a specific resolution (it uses current resolution instead as far as I know)
EDIT2
Ok, figured out how to do, you need to pass the '-RGBImage' argument like this:
frame = print(figHandle, ['-' renderer], ['-r' num2str(round(pixelsperinch))], '-RGBImage');
it also accept custom resolution and renderer as specified in the documentation.
I think you must specify formattype too (-dtiff in my case). I've tried this in Matlab 2016b with no problem:
print(figHandle,'-dtiff', '-opengl', '-r600', 'nameofmyfig');
EDIT:
If you need the CData just find the handle of the corresponding axes and get its CData
f = findobj('Tag','mytag')
Then depending on your matlab version use:
mycdata = get(f,'CData');
or directly
mycdta = f.CData;
EDIT 2:
You can set the tag of your image programatically and then do what I said previously:
a = imshow('peppers.png');
set(a,'Tag','mytag');
Used Versions: OMNeT++ 5.0 with iNET 3.4.0
During some data analysis I noticed that the CSV-export of the analysis tool rounds values like 0.01146575 to 0.0114658. Even if I set the precision to the maximum value of 18.
Here some parts of my code:
In .ned I declared the recording using the type 'simtime_t':
#signal[timestamp](type="simtime_t");
#statistic[timestamp](title="timestamp"; record=mean);
At the top of my .cc I declared the signals:
simsignal_t timestampSignal;
timestampSignal = registerSignal("timestamp");
and somewhere in my code I got:
sintime_t myTime = ...
emit(timestamp, myTime);
Browsing my results in the .anf file I see the right timestamps, but when i export the data via CSV-export I get the bad rounding.
I think myTime is internally converted to a double value. I don't really know the reason, because I set the type of my signal to 'simtime_t'. The mentioned export-precision of '18' should normally be precise enough to display such values.
Is there anything I can do to avoid the rounding of my values? The .octave-exports seems to work fine, but I can't process this file-format in the way I want to.
I have created syntax in SPSS that gives me 90 separate iterations of general linear model, each with slightly different variations fixed factors and covariates. In the output file, they are all just named as "General Linear Model." I have to then manually rename each analysis in the output, and I want to find syntax that will add a more specific name to each result that will help me identify it out of the other 89 results (e.g. "General Linear Model - Males Only: Mean by Gender w/ Weight covariate").
This is an example of one analysis from the syntax:
USE ALL.
COMPUTE filter_$=(Muscle = "BICEPS" & Subj = "S1" & SMU = 1 ).
VARIABLE LABELS filter_$ 'Muscle = "BICEPS" & Subj = "S1" & SMU = 1 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0). FILTER BY filter_$.
EXECUTE.
GLM Frequency_Wk6 Frequency_Wk9
Frequency_Wk12 Frequency_Wk16
Frequency_Wk20
/WSFACTOR=Time 5 Polynomial
/METHOD=SSTYPE(3)
/PLOT=PROFILE(Time)
/EMMEANS=TABLES(Time)
/CRITERIA=ALPHA(.05)
/WSDESIGN=Time.
I am looking for syntax to add to this that will name this analysis as: "S1, SMU1 BICEPS, GLM" Not to name the whole output file, but each analysis within the output so I don't have to do it one-by-one. I have over 200 iterations at times that come out in a single output file, and renaming them individually within the output file is taking too much time.
Making an assumption that you are exporting the models to Excel (please clarify otherwise).
There is an undocumented command (OUTPUT COMMENT TEXT) that you can utilize here, though there is also a custom extension TEXT also designed to achieve the same but that would need to be explicitly downloaded via:
Utilities-->Extension Bundles-->Download And Install Extension Bundles--->TEXT
You can use OUTPUT COMMENT TEXT to assign a title/descriptive text just before the output of the GLM model (in the example below I have used FREQUENCIES as an example).
get file="C:\Program Files\IBM\SPSS\Statistics\23\Samples\English\Employee data.sav".
oms /select all /if commands=['output comment' 'frequencies'] subtypes=['comment' 'frequencies']
/destination format=xlsx outfile='C:\Temp\ExportOutput.xlsx' /tag='ExportOutput'.
output comment text="##Model##: This is a long/descriptive title to help me identify the next model that is to be run - jobcat".
freq jobcat.
output comment text="##Model##: This is a long/descriptive title to help me identify the next model that is to be run - gender".
freq gender.
output comment text="##Model##: This is a long/descriptive title to help me identify the next model that is to be run - minority".
freq minority.
omsend tag=['ExportOutput'].
You could use TITLE command here also but it is limited to only 60 characters.
You would have to change the OMS tags appropriately if using TITLE or TEXT.
Edit:
Given the OP wants to actually add a title to the left hand pane in the output viewer, a solution for this is as follows (credit to Albert-Jan Roskam for the Python code):
First save the python file "editTitles.py" to a valid Python search path (for example (for me anyway): "C:\ProgramData\IBM\SPSS\Statistics\23\extensions")
#editTitles.py
import tempfile, os, sys
import SpssClient
def _titleToPane():
"""See titleToPane(). This function does the actual job"""
outputDoc = SpssClient.GetDesignatedOutputDoc()
outputItemList = outputDoc.GetOutputItems()
textFormat = SpssClient.DocExportFormat.SpssFormatText
filename = tempfile.mktemp() + ".txt"
for index in range(outputItemList.Size()):
outputItem = outputItemList.GetItemAt(index)
if outputItem.GetDescription() == u"Page Title":
outputItem.ExportToDocument(filename, textFormat)
with open(filename) as f:
outputItem.SetDescription(f.read().rstrip())
os.remove(filename)
return outputDoc
def titleToPane(spv=None):
"""Copy the contents of the TITLE command of the designated output document
to the left output viewer pane"""
try:
outputDoc = None
SpssClient.StartClient()
if spv:
SpssClient.OpenOutputDoc(spv)
outputDoc = _titleToPane()
if spv and outputDoc:
outputDoc.SaveAs(spv)
except:
print "Error filling TITLE in Output Viewer [%s]" % sys.exc_info()[1]
finally:
SpssClient.StopClient()
Re-start SPSS Statistics and run below as a test:
get file="C:\Program Files\IBM\SPSS\Statistics\23\Samples\English\Employee data.sav".
title="##Model##: jobcat".
freq jobcat.
title="##Model##: gender".
freq gender.
title="##Model##: minority".
freq minority.
begin program.
import editTitles
editTitles.titleToPane()
end program.
The TITLE command will initially add a title to main output viewer (right hand side) but then the python code will transfer that text to the left hand pane output tree structure. As mentioned already, note TITLE is capped to 60 characters only, a warning will be triggered to highlight this also.
This editTitles.py approach is the closest you are going to get to include a descriptive title to identify each model. To replace the actual title "General Linear Model." with a custom title would require scripting knowledge and would involve a lot more code. This is a simpler alternative approach. Python integration required for this to work.
Also consider using:
SPLIT FILE SEPARATE BY <list of filter variables>.
This will automatically produce filter labels in the left hand pane.
This is easy to use for mutually exclusive filters but even if you have overlapping filters you can re-run multiple times (and have filters applied to get as close to your desired set of results).
For example:
get file="C:\Program Files\IBM\SPSS\Statistics\23\Samples\English\Employee data.sav".
sort cases by jobcat minority.
split file separate by jobcat minority.
freq educ.
split file off.
I was learning how to do machine learning on mldata.org and I was watching a video on Youtube on how to use the data (https://www.youtube.com/watch?v=zY0UhXPy8fM) (2:50). Using the same data, I tried to follow exactly what he did and create a scatterplot of the dataset. However when he used the scatterplot command, it worked perfectly on his side, but I cannot do it on myside.
Can anyone explain what's wrong and what I should do?
octave:2> load banana_data.octave
octave:3> pkg load communications
octave:4> whos
Variables in the current scope:
Attr Name Size Bytes Class
==== ==== ==== ===== =====
data 2x5300 84800 double
label 1x5300 42400 double
Total is 15900 elements using 127200 bytes
octave:5> scatterplot(data, label)
error: scatterplot: real X must be a vector or a 2-column matrix
error: called from:
error: /home/anthony/octave/communications-1.2.0/scatterplot.m at line 69, column 7
The error message says it all. Your data is a 2-row matrix, and not a 2-column matrix as it should be. Just transpose it with .'.
scatterplot(data.')
I dropped the label argument since it is not compatible with the communications toolbox, either in matlab or in octave.
Update:
According to news('communications'),
The plotting functions eyediagram' andscatterplot' have improved Matlab compatibility
This may be why the behaviour is different. Be ready to find other glitches, as the octave 3.2.4 used in this course is about 5 years old.
In order to use the label, you should rather use the standard octave scatter function.
Colors could be changed by choosing another colormap.
colormap(cool(256))
scatter(data(1,:), data(2,:), 6, label, "filled")