Unrecognized function or variable 'importfile'.

I want to do the steps I have listed below, but I am encountering an importfile problem. No matter what I did, I could not import the file named .pos. Please help urgently..

clc; clear; close all;

load ref.mat

%%

wgs84= wgs84Ellipsoid('meter');

[lat, lon, h] = ecef2geodetic(wgs84, ref(1,1), ref(1,2),ref(1,3));

[x,y, utmzone, utmhemi] = wgs2utm(lat, lon);

ref=[x y h];

clear h lat lon utmhemi utmzone x y

%%

l = 2712;

a = importfile('MATLAB Drive/2_ISTA00TUR_R_20231040000_01D_30S_MO.pos', 1, 1);

[lat, lon, h] = ecef2geodetic(wgs84, a(:,4), a(:,5), a (:,6));

[x, y, utmzone, utmhemi] = wgs2utm (lat, lon);

ppp = [a(:,1) a(:,2) a(:,3) x y h];

clear a h lat lon utmhemi utmzone wgs94 x y

%%

a = ppp;

b = ref;

e = sqrt((a(:,4) - b(1,1)).^2 + (a(:,5)- b (1,2)).^2 + (a(:, 6) - b(1,3)).^2);

e = e * 100;

figure(1)

plot(e)

%%

%saga

y = 1;

m = max(abs(a(y:end, 4)- b (1, 1)))*100;

o = mean(a(y:end, 4)- b (1, 1)) * 100;

s = std(a(y:end, 4) - b (1, 1))* 100;

p = sum((a (y:end, 4)- b(1,1)).^2);

k = sqrt(p/(1-y))*100;

%%

%%saga

m1 = max(abs(a(y:end, 5)- b (1, 2)))*100;

o1 = mean(a(y:end, 5)- b (1, 2)) * 100;

s1 = std(a(y:end, 5) - b (1, 2))* 100;

p1 = sum((a (y:end, 5)- b(1,2)).^2);

k1 = sqrt(p1/(1-y))*100;

%

%h

m2 = max(abs(a(y:end, 6)- b (1, 3))) * 100;

o2 = mean(a(y:end, 6)- b (1, 3)) * 100;

s2 = std(a(y:end, 6) - b (1, 3)) * 100;

p2 = sum((a(y:end, 6)- b(1, 3)).^ 2);

k2 = sqrt(p2/(1-y))*100;

table = [m o s k m1 o1 s1 k1 m2 o2 s2 k2];

[Dyuman Joshi]

There is no built-in (or a toolbox) function named importfile. I am not sure why you are using that.

Try importdata.

[Emre Solmaz]

The content of my .pos extension file is like this. Our teacher in class was able to import it, but I couldn't.

[Dyuman Joshi]

Could you attach the file? I don't have much experience with .pos files, but I can surely try something and see what works.

Use the paperclip button to attach.

[Emre Solmaz]

The system did not allow me to upload .pos, but I am making .txt and sending it to you. If you wish, you can change the extension to .pos and use it. thanks.

Answer 1

[Dyuman Joshi]

readtable works on the text file -

T = readtable('2_ISTA00TUR_R_...1D_30S_MO.txt', 'Delimiter', '  ', ...
    'ConsecutiveDelimitersRule', 'join')

T = 2595×14 table
               Var1                   Var2          Var3          Var4       Var5    Var6     Var7      Var8      Var9     Var10     Var11     Var12     Var13    Var14
    ___________________________    __________    __________    __________    ____    ____    ______    ______    ______    ______    ______    ______    _____    _____

    {'2023/04/14 00:00:00.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       18     5.9786    4.0024    6.0642    3.3246    2.2152    4.4646      0        0  
    {'2023/04/14 00:00:30.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     4.2095    2.7257    4.3165    2.4176    1.5806     3.214      0        0  
    {'2023/04/14 00:01:00.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     3.4352     2.203    3.5363    1.9883    1.2947    2.6413      0        0  
    {'2023/04/14 00:01:30.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     2.9751    1.8991    3.0702    1.7279    1.1225    2.2961      0        0  
    {'2023/04/14 00:02:00.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     2.6617    1.6944    2.7518    1.5486    1.0042    2.0591      0        0  
    {'2023/04/14 00:02:30.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     2.4305    1.5445    2.5166    1.4157    0.9164    1.8837      0        0  
    {'2023/04/14 00:03:00.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     2.2509    1.4286    2.3339     1.312     0.848     1.747      0        0  
    {'2023/04/14 00:03:30.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     2.1063    1.3356    2.1866    1.2282    0.7926    1.6366      0        0  
    {'2023/04/14 00:04:00.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.9865    1.2588    2.0647    1.1586    0.7465    1.5451      0        0  
    {'2023/04/14 00:04:30.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.8852     1.194    1.9615    1.0998    0.7075    1.4675      0        0  
    {'2023/04/14 00:05:00.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.7981    1.1384    1.8727     1.049    0.6738    1.4007      0        0  
    {'2023/04/14 00:05:30.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.7221      1.09    1.7952    1.0047    0.6444    1.3424      0        0  
    {'2023/04/14 00:06:00.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.6551    1.0473    1.7269    0.9656    0.6183    1.2909      0        0  
    {'2023/04/14 00:06:30.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.5953    1.0094     1.666    0.9308    0.5951     1.245      0        0  
    {'2023/04/14 00:07:00.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.5417    0.9754    1.6112    0.8995    0.5742    1.2037      0        0  
    {'2023/04/14 00:07:30.000'}    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.4932    0.9446    1.5617    0.8711    0.5552    1.1663      0        0  

If you need the data in the 1st column as datetime array, convert accordingly -

T = convertvars(T, 1, @(x) datetime(x, 'InputFormat', 'yyyy/MM/dd hh:mm:ss.SSS'))

T = 2595×14 table
            Var1               Var2          Var3          Var4       Var5    Var6     Var7      Var8      Var9     Var10     Var11     Var12     Var13    Var14
    ____________________    __________    __________    __________    ____    ____    ______    ______    ______    ______    ______    ______    _____    _____

    14-Apr-2023 00:00:00    4.2088e+06    2.3349e+06    4.1713e+06     6       18     5.9786    4.0024    6.0642    3.3246    2.2152    4.4646      0        0  
    14-Apr-2023 00:00:30    4.2088e+06    2.3349e+06    4.1713e+06     6       21     4.2095    2.7257    4.3165    2.4176    1.5806     3.214      0        0  
    14-Apr-2023 00:01:00    4.2088e+06    2.3349e+06    4.1713e+06     6       21     3.4352     2.203    3.5363    1.9883    1.2947    2.6413      0        0  
    14-Apr-2023 00:01:30    4.2088e+06    2.3349e+06    4.1713e+06     6       21     2.9751    1.8991    3.0702    1.7279    1.1225    2.2961      0        0  
    14-Apr-2023 00:02:00    4.2088e+06    2.3349e+06    4.1713e+06     6       21     2.6617    1.6944    2.7518    1.5486    1.0042    2.0591      0        0  
    14-Apr-2023 00:02:30    4.2088e+06    2.3349e+06    4.1713e+06     6       21     2.4305    1.5445    2.5166    1.4157    0.9164    1.8837      0        0  
    14-Apr-2023 00:03:00    4.2088e+06    2.3349e+06    4.1713e+06     6       21     2.2509    1.4286    2.3339     1.312     0.848     1.747      0        0  
    14-Apr-2023 00:03:30    4.2088e+06    2.3349e+06    4.1713e+06     6       21     2.1063    1.3356    2.1866    1.2282    0.7926    1.6366      0        0  
    14-Apr-2023 00:04:00    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.9865    1.2588    2.0647    1.1586    0.7465    1.5451      0        0  
    14-Apr-2023 00:04:30    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.8852     1.194    1.9615    1.0998    0.7075    1.4675      0        0  
    14-Apr-2023 00:05:00    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.7981    1.1384    1.8727     1.049    0.6738    1.4007      0        0  
    14-Apr-2023 00:05:30    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.7221      1.09    1.7952    1.0047    0.6444    1.3424      0        0  
    14-Apr-2023 00:06:00    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.6551    1.0473    1.7269    0.9656    0.6183    1.2909      0        0  
    14-Apr-2023 00:06:30    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.5953    1.0094     1.666    0.9308    0.5951     1.245      0        0  
    14-Apr-2023 00:07:00    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.5417    0.9754    1.6112    0.8995    0.5742    1.2037      0        0  
    14-Apr-2023 00:07:30    4.2088e+06    2.3349e+06    4.1713e+06     6       21     1.4932    0.9446    1.5617    0.8711    0.5552    1.1663      0        0  

Note that you will need to use the variable names or curly brackets to access the data inside.

See this documentation page for more info - Access Data in Tables

%Using variable name
T.Var1

ans = 2595×1 datetime array
   14-Apr-2023 00:00:00
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%Using curly bracket and index
T{:, 1}

ans = 2595×1 datetime array
   14-Apr-2023 00:00:00
   14-Apr-2023 00:00:30
   14-Apr-2023 00:01:00
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   14-Apr-2023 00:14:30

[Emre Solmaz]

When I cleared my mind a little, I realized that this was exactly the problem :) This is exactly the answer. Thanks for your time. Good day sir!

[Dyuman Joshi]

You're welcome!

Thank you, and Good day to you as well!