%% INPUT DATA
input_data = [200 10.0 0.0095; %C1
240 7.0 0.0070; %C2
200 11.0 0.0090; %C3
220 8.5 0.0090; %C4
220 10.5 0.0080; %C5
0.0015 0.0014 -0.0001 0.0009 -0.0004 %Power Loss
];
pd=830; %Power Demand
%%
lambda = input ('Enter initial lambda:')
Could anyone help me fix this? I've check the row to column data but still cant fix the error.
Your 6th row, power, contains 5 entries, as opposed to c1 to c5, which contain only three entries. MATLAB doesn't do Swiss cheese; I'd suggest making power a separate variable.
Related
I'm trying to convert duration in one column which is written in milliseconds (Ex: 600,2101,1110....) to hh:mm:ss.000 format(Ex:00:00:00.600, 00:00:02.101...) using the below formula in google spreadsheets:
=CONCATENATE(TEXT(INT(A1/1000)/86400,"hh:mm:ss"),".",A1-(INT(A1/1000)*1000))
It gives correct values for almost all , but one type of values which is durations having '0' as their second digit (Eg: 2010,3056,1011).
When 0 is the second digit , the after decimal value in hh:mm:ss.000 is rounded to the third digit and 0 is ignored (Example row 1 and 2 in below table). But for other durations it gives right value(row 3).
I need a formula that works well on all type of values i.e 1080 → 00:00:01.080 and not 00:00:01.80 .
Can someone please help with this.
Duration in milliseconds
hh:mm:ss.000 format
1080
00:00:01.80 (wrong)
2010
00:00:02.10 (wrong)
1630
00:00:01.630 (correct)
try:
=INDEX(IF(A2:A="",,TEXT(A2:A/86400000, "hh:mm:ss.000")))
I have to parse some tables from an ASCII text file. Here's a partial sample:
QSMDRYCELL 11.00 11.10 11.00 11.00 -.90 11 11000 1.212
RECKITTBEN 192.50 209.00 192.50 201.80 5.21 34 2850 5.707
RUPALIINS 150.00 159.00 150.00 156.25 6.29 4 80 .125
SALAMCRST 164.00 164.75 163.00 163.25 -.45 80 8250 13.505
SINGERBD 779.75 779.75 770.00 773.00 -.89 8 95 .735
SONARBAINS 68.00 69.00 67.50 68.00 .74 11 3050 2.077
The table consists of 1 column of text and 8 columns of floating point numbers. I'd like to capture each column via regex.
I'm pretty new to regular expressions. Here's the faulty regex pattern I came up with:
(\S+)\s+(\s+[\d\.\-]+){8}
But the pattern captures only the first and the last columns. RegexBuddy also emits the following warning:
You repeated the capturing group
itself. The group will capture only
the last iteration. Put a capturing
group around the repeated group to
capture all iterations.
I've consulted their help file, but I don't have a clue as to how to solve this.
How can I capture each column separately?
In C# (modified from this example):
string input = "QSMDRYCELL 11.00 11.10 11.00 11.00 -.90 11 11000 1.212";
string pattern = #"^(\S+)\s+(\s+[\d.-]+){8}$";
Match match = Regex.Match(input, pattern, RegexOptions.MultiLine);
if (match.Success) {
Console.WriteLine("Matched text: {0}", match.Value);
for (int ctr = 1; ctr < match.Groups.Count; ctr++) {
Console.WriteLine(" Group {0}: {1}", ctr, match.Groups[ctr].Value);
int captureCtr = 0;
foreach (Capture capture in match.Groups[ctr].Captures) {
Console.WriteLine(" Capture {0}: {1}",
captureCtr, capture.Value);
captureCtr++;
}
}
}
Output:
Matched text: QSMDRYCELL 11.00 11.10 11.00 11.00 -.90 11 11000 1.212
...
Group 2: 1.212
Capture 0: 11.00
Capture 1: 11.10
Capture 2: 11.00
...etc.
If you want to know what the warning is appearing for, it's because your capture group matches multiple times (8, as you specified) but the capture variable can only have one value. It is assigned the last value matched.
As described in question 1313332, retrieving these multiple matches is generally not possible with a regular expression, although .NET and Perl 6 have some support for it.
The warning suggests that you could put another group around the whole set, like this:
(\S+)\s+((\s+[\d\.\-]+){8})
You would then be able to see all the columns, but of course they would not be separated. Because it's generally not possible to capture them separately, the more common intention is to capture all of it, and the warning helps remind you of this.
Unfortunately you need to repeat the (…) 8 times to get each column separately.
^(\S+)\s+([-.\d]+)\s+([-.\d]+)\s+([-.\d]+)\s+([-.\d]+)\s+([-.\d]+)\s+([-.\d]+)\s+([-.\d]+)\s+([-.\d]+)$
If code is possible, you can first match those numeric columns as a whole
>>> rx1 = re.compile(r'^(\S+)\s+((?:[-.\d]+\s+){7}[-.\d]+)$', re.M)
>>> allres = rx1.findall(theAsciiText)
then split the columns by spaces
>>> [[p] + q.split() for p, q in allres]
I just learned about the "do" loop today and would like to try using it for data entry in SAS. I have tried most examples online, but I still cannot figure it out.
My dataset in an experiment with 6 treatments (1 to 6) using 2 sets of cues, 3 each, Visual and Audio. There's lag measured in seconds, which are 5, 10, and 15, which there are 2 sets.
Basically it looks like this:
Table
The entries I want are:
1. Obs_no, ranging from 1 to 18 (total of 18 observations, this allows me to easily delete outliers with an IF THEN)
2. Treatment type, which are Auditory and Visual.
3.Treatment number, 1 to 6, 3 sets.
4. Lag, 5, 10 or 15.
5. And the data itself
So far, my code makes 2 and 5 possible, it also makes the rest possible with an IF THEN statement and input statement, although I assume there's a way easier method:
data AVCue;
do cue = 'Auditory','Visual';
do i = 1 to 3;
input AVCue ##;
output;
end;
end;
datalines;
.204 .167 .202 .257 .283 .256
.170 .182 .198 .279 .235 .281
.181 .187 .236 .269 .260 .258
;
Lag and the rest was made possible using an IF THEN statement and the crude method of input:
data AVCue;
set AVCue;
IF i=1 THEN Lag=5;
IF i=2 THEN Lag=10;
IF i=3 THEN Lag=15;
input obs_no treatment;
cards;
1 1
2 2
3 3
4 4
5 5
6 6
7 1
8 2
9 3
10 4
11 5
12 6
13 1
14 2
15 3
16 4
17 5
18 6
;
proc print data=AVCue;
run;
The IF THEN should be fine, but the input statement here is just in my opinion counterproductive, and defeats the purpose of using loops, which is to me, to save time. If done this way, I might as well just put the data into excel and import it, or type everything out with ample copy and paste of the text in the
input obs_no treatment;
cards;
section.
My coding knowledge is basic, so sorry if this question sounds silly, I want to know:
1. How would I make a list of numbers using the "do" loops in SAS? I've made several attempts and all I get is a list containing the next number. I know why this happens, the loop counts to x and the value assigned would just be x. I just don't know how to get around that. Somehow this didn't happen in the datalines section, I guess SAS knows there's 18 numbers and the entry i is stored accordingly... or something?
2. How would I go about assigning in this case, the numbers 1 to 6 to each entry?
Thanks!
It is certainly much easier to read in the actual dataset instead of having to impute some of the variables based on the order the values have in the source data. You might be able to combine a SET statement and an INPUT statement in the same data step and get it to work, but it is probably NOT worth the effort. Just make two datasets and merge them.
Looking at the photograph you posted it looks like TREATMENT is not an independent variable. Instead it is just a label for the combination of CUE and LAG. To make it cycle from 1 to 6 just reset it back to 1 when it gets too large.
data AVCue;
do cue = 'Auditory','Visual';
do lag= 5, 10, 15 ;
treatment+1;
if treatment=7 then treatment=1;
obsno+1;
input AVCue ##;
output;
end;
end;
datalines;
.204 .167 .202 .257 .283 .256
.170 .182 .198 .279 .235 .281
.181 .187 .236 .269 .260 .258
;
You can get in trouble if you just let SAS guess at how you want to define your variables. For example if you change the order of the CUE values do cue = 'Visual','Auditory'; then SAS will make CUE with length $5 instead of $8. Add a LENGTH statement to define your variables before you use them.
length obsno 8 treatment 8 cue $8 lag 8 AVCue 8 ;
This will also let you control the order they are created in the dataset.
If you really did already have a SAS dataset and you wanted to add a variable like TREATMENT that cycled from 1 to 6 (or really any DO loop construct) then could nest the SET statement inside the DO loop. Just remember to add the explicit OUTPUT statement.
data new ;
do treatment=1 to 6 ;
set old;
output;
end;
run;
How can you read through a file of unknown line lengths (about 1500 lines, so no malloc/alloc and the like is needed because memory is sufficient...luckily, because I don't understand those array/pointer commands yet) including float numbers, signs, and letters, extract specific numbers from it, do some calculations and write them back in another file?
Three example-lines:
02060 6.1 0.15 K14C9 134.52612 339.34971 209.27800 6.93836 0.3820989 0.01956864 13.6383665 0 MPO319108 1304 45 1895-2014 0.53 M-v 38h MPCLINUX 000A (2060) Chiron 20141030
05145 7.1 0.15 K14C9 90.96884 354.94362 119.25398 24.73205 0.5736395 0.01074547 20.3385073 0 MPO169571 319 21 1977-2009 0.58 M-v 38h MPCMEL 400A (5145) Pholus 20090418
07066 9.6 0.15 K14C9 67.95075 170.25614 31.23622 15.65639 0.5195581 0.00813869 24.4774642 1 MPO135426 105 9 1993-2004 0.48 M-v 38h MPCW 400A (7066) Nessus 20040526
Welcome! Including your existing code is always a good idea, so thanks for doing so. It would help to see it as part of the question, however. Could you edit the question to include your code, and format it nicely as well?
One problem that I see is with the correct use of formatting strings in your fscanf() call. You always specify %lf but that is only appropriate for double values, and you also need to parse integers and strings.
I have two files 'results.dat' and 'grid.dat'.
The results.dat contains per row a different data set of y values.
1 325.5 875.4 658.7 365.5
2 587.5 987.5 478.6 658.5
3 987.1 542.6 986.2 458.7
The grid.dat contains the corresponding x values.
1 100.0 200.0 300.0 400.0
How can I plot with gnuplot the grid.dat as x values und a specific line of results.dat as corresponding y values? E.g. line 3:
1 100.0 987.1
2 200.0 542.6
3 300.0 986.2
4 400.0 458.7
Thanks in advance.
Thats quite similar to the recent question Gnuplot: plotting the maximum of two files. In your case it is also not possible to do it with gnuplot only.
You need an external tool to combine the two files on-the-fly, e.g. with the following python script (any other tool would also do):
""" selectrow.py: Select a row from 'results.dat' and merge with 'grid.dat'."""
import numpy as np
import sys
line = int(sys.argv[1])
A = np.loadtxt('grid.dat')
B = np.loadtxt('results.dat', skiprows=(line-1))[0]
np.savetxt(sys.stdout, np.c_[A, B], delimiter='\t')
And then plot the third line of results.dat with
plot '< python selectrow.py 3' w l