moonplot

moonplot draws the Correspondence Analysis (CA) moonplot.

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Syntax

Description

example

moonplot(out) moonplot with all the default options.

example

moonplot(out, Name, Value) moonplot with option changedimsign.

Examples

expand all

  • moonplot with all the default options.

    • Prepare the data. 

    load('csdPerceptions')
N=csdPerceptions;
out=CorAna(N,'plots',0);
moonplot(out);
    Summary
             Singular_value     Inertia      Accounted_for    Cumulative
             ______________    __________    _____________    __________

    dim_1        0.54313          0.29499         0.7751        0.7751  
    dim_2         0.2544         0.064718        0.17005       0.94514  
    dim_3        0.11339         0.012857       0.033781       0.97893  
    dim_4       0.086748        0.0075251       0.019772        0.9987  
    dim_5         0.0167       0.00027887     0.00073275       0.99943  
    dim_6       0.013467       0.00018135     0.00047651       0.99991  
    dim_7      0.0059347        3.522e-05     9.2542e-05             1  

ROW POINTS
Results for dimension: 1
                 Scores      CntrbPnt2In    CntrbDim2In
                _________    ___________    ___________

    Coke         -0.24282      0.054146       0.51564  
    V             0.44798       0.14366       0.93282  
    RedBull       0.47112       0.13662       0.92437  
    LiftPlus      0.46454      0.077496       0.89889  
    DietCoke    -0.091333     0.0010171      0.021869  
    Fanta         -1.2734       0.53874       0.88102  
    Lift          -0.5004      0.033995       0.34225  
    Pepsi        -0.27373      0.014328       0.35991  

Results for dimension: 2
                 Scores     CntrbPnt2In    CntrbDim2In
                ________    ___________    ___________

    Coke        -0.20254      0.17171        0.35874  
    V            0.11225     0.041108       0.058562  
    RedBull      0.13203     0.048907       0.072599  
    LiftPlus     0.14636     0.035066       0.089234  
    DietCoke    -0.53782      0.16075        0.75831  
    Fanta        0.46647      0.32953        0.11823  
    Lift        -0.49767      0.15326        0.33852  
    Pepsi       -0.26164     0.059666        0.32881  

COLUMN POINTS
Results for dimension: 1
                    Scores      CntrbPnt2In    CntrbDim2In
                   _________    ___________    ___________

    Kids             -1.3154        0.4257       0.92133  
    Teens           0.037207     0.0008574      0.016052  
    EnjoyLife      -0.078767     0.0020558       0.05637  
    PicksYouUp       0.48853       0.10076       0.88168  
    Refreshes       -0.29457      0.017537       0.21492  
    CheersYouUp     -0.23563      0.010974       0.82623  
    Energy           0.60133       0.14373       0.81498  
    Up_to_date       0.28737      0.025084       0.87766  
    Fun             -0.92306       0.20009       0.91969  
    WhenTired        0.45377      0.066061       0.92716  
    Relax              -0.25     0.0071446       0.20238  

Results for dimension: 2
                    Scores     CntrbPnt2In    CntrbDim2In
                   ________    ___________    ___________

    Kids            0.36814       0.15199      0.072168  
    Teens          -0.23731       0.15898       0.65297  
    EnjoyLife        -0.294       0.13054        0.7853  
    PicksYouUp      0.17611      0.059685       0.11458  
    Refreshes      -0.41976       0.16232       0.43641  
    CheersYouUp    -0.05739     0.0029674      0.049015  
    Energy          0.27479       0.13681       0.17018  
    Up_to_date     0.080252     0.0089169      0.068448  
    Fun             0.23316      0.058191      0.058679  
    WhenTired       0.12237      0.021897      0.067425  
    Relax          -0.45464        0.1077        0.6693  

-----------------------------------------------------------
Overview ROW POINTS
                  Mass       Score_1     Score_2     Inertia     CntrbPnt2In_1    CntrbPnt2In_2    CntrbDim2In_1    CntrbDim2In_2
                ________    _________    ________    ________    _____________    _____________    _____________    _____________

    Coke         0.27089     -0.24282    -0.20254    0.030977       0.054146         0.17171          0.51564          0.35874   
    V            0.21116      0.44798     0.11225     0.04543        0.14366        0.041108          0.93282         0.058562   
    RedBull      0.18157      0.47112     0.13203    0.043598        0.13662        0.048907          0.92437         0.072599   
    LiftPlus     0.10594      0.46454     0.14636    0.025432       0.077496        0.035066          0.89889         0.089234   
    DietCoke    0.035968    -0.091333    -0.53782     0.01372      0.0010171         0.16075         0.021869          0.75831   
    Fanta       0.098012      -1.2734     0.46647     0.18039        0.53874         0.32953          0.88102          0.11823   
    Lift        0.040049      -0.5004    -0.49767    0.029301       0.033995         0.15326          0.34225          0.33852   
    Pepsi       0.056409     -0.27373    -0.26164    0.011744       0.014328        0.059666          0.35991          0.32881   

Overview COLUMN POINTS
                     Mass       Score_1     Score_2      Inertia     CntrbPnt2In_1    CntrbPnt2In_2    CntrbDim2In_1    CntrbDim2In_2
                   ________    _________    ________    _________    _____________    _____________    _____________    _____________

    Kids           0.072579      -1.3154     0.36814       0.1363         0.4257          0.15199         0.92133         0.072168   
    Teens           0.18271     0.037207    -0.23731     0.015757      0.0008574          0.15898        0.016052          0.65297   
    EnjoyLife      0.097746    -0.078767      -0.294     0.010758      0.0020558          0.13054         0.05637           0.7853   
    PicksYouUp      0.12454      0.48853     0.17611     0.033712        0.10076         0.059685         0.88168          0.11458   
    Refreshes      0.059621     -0.29457    -0.41976     0.024072       0.017537          0.16232         0.21492          0.43641   
    CheersYouUp    0.058308     -0.23563    -0.05739    0.0039181       0.010974        0.0029674         0.82623         0.049015   
    Energy          0.11726      0.60133     0.27479     0.052026        0.14373          0.13681         0.81498          0.17018   
    Up_to_date     0.089603      0.28737    0.080252     0.008431       0.025084        0.0089169         0.87766         0.068448   
    Fun            0.069276     -0.92306     0.23316      0.06418        0.20009         0.058191         0.91969         0.058679   
    WhenTired      0.094641      0.45377     0.12237     0.021018       0.066061         0.021897         0.92716         0.067425   
    Relax          0.033721        -0.25    -0.45464     0.010414      0.0071446           0.1077         0.20238           0.6693   

-----------------------------------------------------------
Legend
CntrbPnt2In = relative contribution of points to explain total Inertia of the latent dimension
              The sum of the numbers in a column is equal to 1
CntrbDim2In = relative contribution of latent dimension to explain total Inertia of a point
              CntrbDim2In_1+CntrbDim2In_2+...+CntrbDim2In_K=1
    Click here for the graphical output of this example (link to Ro.S.A. website).

  • moonplot with option changedimsign.

    • Prepare the data. 

    load mobilephone
out=CorAna(mobilephone,'plots',0);
% Use of option changedimsign
moonplot(out,'changedimsign',[true false])
    Summary
             Singular_value     Inertia      Accounted_for    Cumulative
             ______________    __________    _____________    __________

    dim_1        0.47503          0.22565        0.65741       0.65741  
    dim_2        0.25226         0.063636        0.18539       0.84281  
    dim_3        0.20151         0.040605         0.1183       0.96111  
    dim_4        0.09015        0.0081271       0.023677       0.98478  
    dim_5       0.063381        0.0040172       0.011704       0.99649  
    dim_6       0.028981       0.00083991       0.002447       0.99893  
    dim_7       0.019133       0.00036609      0.0010666             1  

ROW POINTS
Results for dimension: 1
                        Scores     CntrbPnt2In    CntrbDim2In
                       ________    ___________    ___________

    AAPTCellularOne     0.43774      0.074997       0.58204  
    NewTel              0.70084       0.18966       0.82774  
    OneTel              0.75509       0.29334       0.67859  
    Optus              -0.36684      0.099393       0.80005  
    Orange             0.080756     0.0030053      0.069512  
    Telstra            -0.48339       0.19667       0.63237  
    VirginMobile         0.2265      0.021753       0.23553  
    Vodafone           -0.42388       0.12118        0.7573  

Results for dimension: 2
                        Scores     CntrbPnt2In    CntrbDim2In
                       ________    ___________    ___________

    AAPTCellularOne     0.20731     0.059649         0.13055 
    NewTel             0.088109      0.01063        0.013083 
    OneTel             -0.45615      0.37961         0.24765 
    Optus              0.013396      0.00047       0.0010669 
    Orange              0.21336     0.074391         0.48523 
    Telstra            -0.27412      0.22427         0.20335 
    VirginMobile         0.3793      0.21631         0.66047 
    Vodafone            0.12041     0.034671        0.061103 

COLUMN POINTS
Results for dimension: 1
                                     Scores     CntrbPnt2In    CntrbDim2In
                                    ________    ___________    ___________

    Bureaucratic                     -0.2099      0.010152       0.21808  
    LowService                        0.1333     0.0044122       0.47623  
    Friendly                        -0.13344      0.003972       0.12889  
    LowPrices                       0.071087     0.0011218      0.023653  
    Fashionable                     -0.13019      0.003816      0.062038  
    UnFashionable                    0.25692      0.017084       0.55182  
    Reliable                        -0.54443      0.062682       0.91686  
    HereTodayGoneTomorrow              1.183       0.26211       0.75899  
    GoodCoverage                    -0.73321      0.097851       0.82221  
    NetworkOftenDown                  0.2291      0.016622       0.78161  
    TheBestPhones                   -0.32977      0.022425       0.81958  
    ConvenientlyLocatedStores       -0.62787      0.090006       0.91678  
    HighPrices                      -0.41233      0.029157       0.43235  
    Unreliable                       0.59274      0.082434       0.81269  
    MeetMyCommunicationNeeds        -0.37965      0.029874       0.89117  
    LeadersMobilePhoneTechnology    -0.43259      0.040952        0.9748  
    ILikeThem                       -0.24443      0.014206       0.57453  
    IHateThem                        0.27763      0.026925       0.95031  
    DonotKnowMuchAboutThem           0.82215       0.18419       0.57997  

Results for dimension: 2
                                     Scores      CntrbPnt2In    CntrbDim2In
                                    _________    ___________    ___________

    Bureaucratic                     -0.25947      0.055008        0.33323 
    LowService                       -0.10801      0.010272        0.31265 
    Friendly                          0.29472      0.068702        0.62872 
    LowPrices                         0.33385      0.087739        0.52169 
    Fashionable                       0.39172       0.12251        0.56168 
    UnFashionable                    -0.10432     0.0099873       0.090972 
    Reliable                          -0.1167      0.010213       0.042129 
    HereTodayGoneTomorrow             -0.5778       0.22171        0.18105 
    GoodCoverage                      -0.2654      0.045464        0.10773 
    NetworkOftenDown                 0.034508     0.0013373       0.017733 
    TheBestPhones                    0.079656     0.0046398        0.04782 
    ConvenientlyLocatedStores       -0.051112      0.002115      0.0060753 
    HighPrices                       -0.26416      0.042436        0.17746 
    Unreliable                         -0.246      0.050349        0.13998 
    MeetMyCommunicationNeeds        0.0016326    1.9591e-06     1.6481e-05 
    LeadersMobilePhoneTechnology    -0.028765     0.0006421      0.0043102 
    ILikeThem                          0.1504      0.019074        0.21754 
    IHateThem                       -0.037841     0.0017737       0.017654 
    DonotKnowMuchAboutThem            0.50458       0.24602        0.21845 

-----------------------------------------------------------
Overview ROW POINTS
                         Mass      Score_1     Score_2      Inertia     CntrbPnt2In_1    CntrbPnt2In_2    CntrbDim2In_1    CntrbDim2In_2
                       ________    ________    ________    _________    _____________    _____________    _____________    _____________

    AAPTCellularOne    0.088319     0.43774     0.20731     0.029076       0.074997        0.059649          0.58204           0.13055  
    NewTel             0.087132     0.70084    0.088109     0.051704        0.18966         0.01063          0.82774          0.013083  
    OneTel               0.1161     0.75509    -0.45615     0.097545        0.29334         0.37961          0.67859           0.24765  
    Optus               0.16667    -0.36684    0.013396     0.028034       0.099393         0.00047          0.80005         0.0010669  
    Orange              0.10399    0.080756     0.21336    0.0097562      0.0030053        0.074391         0.069512           0.48523  
    Telstra             0.18993    -0.48339    -0.27412     0.070181        0.19667         0.22427          0.63237           0.20335  
    VirginMobile       0.095679      0.2265      0.3793     0.020841       0.021753         0.21631          0.23553           0.66047  
    Vodafone            0.15218    -0.42388     0.12041     0.036108        0.12118        0.034671           0.7573          0.061103  

Overview COLUMN POINTS
                                      Mass      Score_1      Score_2      Inertia     CntrbPnt2In_1    CntrbPnt2In_2    CntrbDim2In_1    CntrbDim2In_2
                                    ________    ________    _________    _________    _____________    _____________    _____________    _____________

    Bureaucratic                    0.051994     -0.2099     -0.25947     0.010505       0.010152         0.055008         0.21808           0.33323  
    LowService                       0.05603      0.1333     -0.10801    0.0020907      0.0044122         0.010272         0.47623           0.31265  
    Friendly                        0.050332    -0.13344      0.29472    0.0069537       0.003972         0.068702         0.12889           0.62872  
    LowPrices                       0.050095    0.071087      0.33385     0.010702      0.0011218         0.087739        0.023653           0.52169  
    Fashionable                     0.050807    -0.13019      0.39172      0.01388       0.003816          0.12251        0.062038           0.56168  
    UnFashionable                   0.058405     0.25692     -0.10432    0.0069862       0.017084        0.0099873         0.55182          0.090972  
    Reliable                        0.047721    -0.54443      -0.1167     0.015427       0.062682         0.010213         0.91686          0.042129  
    HereTodayGoneTomorrow            0.04226       1.183      -0.5778     0.077928        0.26211          0.22171         0.75899           0.18105  
    GoodCoverage                    0.041073    -0.73321      -0.2654     0.026855       0.097851         0.045464         0.82221           0.10773  
    NetworkOftenDown                0.071462      0.2291     0.034508    0.0047988       0.016622        0.0013373         0.78161          0.017733  
    TheBestPhones                   0.046534    -0.32977     0.079656    0.0061743       0.022425        0.0046398         0.81958           0.04782  
    ConvenientlyLocatedStores       0.051519    -0.62787    -0.051112     0.022154       0.090006         0.002115         0.91678         0.0060753  
    HighPrices                      0.038699    -0.41233     -0.26416     0.015218       0.029157         0.042436         0.43235           0.17746  
    Unreliable                      0.052944     0.59274       -0.246     0.022889       0.082434         0.050349         0.81269           0.13998  
    MeetMyCommunicationNeeds        0.046771    -0.37965    0.0016326    0.0075643       0.029874       1.9591e-06         0.89117        1.6481e-05  
    LeadersMobilePhoneTechnology    0.049383    -0.43259    -0.028765      0.00948       0.040952        0.0006421          0.9748         0.0043102  
    ILikeThem                       0.053656    -0.24443       0.1504    0.0055796       0.014206         0.019074         0.57453           0.21754  
    IHateThem                       0.078822     0.27763    -0.037841    0.0063933       0.026925        0.0017737         0.95031          0.017654  
    DonotKnowMuchAboutThem          0.061491     0.82215      0.50458     0.071665        0.18419          0.24602         0.57997           0.21845  

-----------------------------------------------------------
Legend
CntrbPnt2In = relative contribution of points to explain total Inertia of the latent dimension
              The sum of the numbers in a column is equal to 1
CntrbDim2In = relative contribution of latent dimension to explain total Inertia of a point
              CntrbDim2In_1+CntrbDim2In_2+...+CntrbDim2In_K=1
    Click here for the graphical output of this example (link to Ro.S.A. website).

    Input Arguments

    expand all

    out — Structure containing the output of function CorAna. Structure.

    Structure containing the following fields.

    Value Description
    Lr

    cell of length $I$ containing the labels of active rows (i.e. the rows which participated to the fit).
    Lc

    cell of length $J$ containing the labels of active columns (i.e. the columns which participated to the fit).
    n

    Grand total. out.n is equal to sum(sum(out.N)).

    This is the number of observations.
    Dr

    Square matrix of size $I$ containing on the diagonal the row masses. This is matrix $D_r$.

    \[ D_r=diag(r) \]
    Dc

    Square matrix of size $J$ containing on the diagonal the column masses. This is matrix $D_c$.

    \[ D_c=diag(c) \]
    InertiaExplained

    matrix with 4 columnn.

    - First column contains the singular values (the sum of the squared singular values is the total inertia).

    - Second column contains the eigenvalues (the sum of the eigenvalues is the total inertia).

    - Third column contains the variance explained by each latent dimension.

    - Fourth column contains the cumulative variance explained by each dimension.
    LrSup

    cell containing the labels of the supplementary rows (i.e. the rows whicg did not participate to the fit).
    LcSup

    cell containing the labels of supplementary columns (i.e. the columns which did not participate to the fit).
    SupRowsN

    matrix of size length(LrSup)-by-c referred to supplementary rows. If there are no supplementary rows this field is not present.
    SupColsN

    matlab of size r-by-length(LcSup) referred to supplementary columns.

    If there are no supplementary columns this field is not present.
    RowsPriSup

    Principal coordinates of supplementary rows.

    If there are no supplementary rows this field is not present.
    RowsStaSup

    Standard coordinates of supplementary rows.

    If there are no supplementary rows this field is not present.
    RowsSymSup

    Symmetrical coordinates of supplementary rows.

    If there are no supplementary rows this field is not present.
    ColsPriSup

    Principal coordinates of supplementary columns.

    If there are no supplementary columns this field is not present.
    ColsStaSup

    Standard coordinates of of supplementary columns.

    If there are no supplementary columns this field is not present.
    ColsSymSup

    Symmetrical coordinates of supplementary columns.

    If there are no supplementary columns this field is not present.

    Data Types: struct

    Name-Value Pair Arguments

    Specify optional comma-separated pairs of Name,Value arguments. Name is the argument name and Value is the corresponding value. Name must appear inside single quotes (' '). You can specify several name and value pair arguments in any order as Name1,Value1,...,NameN,ValueN.

    Example: 'plots',plots=struct; plots.colorcols='k' , 'addx',0.01 , 'addy',0.01 , 'changedimsign', [true false] , 'xlimx',[-1 1] , 'ylimy',[0 1] , 'd1',2 , 'd2',3 ,'h',h1 where h1=subplot(2,1,1)

    plots —Customize plot appearance.scalar | structure.

    If plots is not a structure, a plot which shows the Principal coordinates of rows and columns is shown on the screen. If plots is a structure it may contain the following fields:

    Value Description
    alpha

    type of plot, scalar in the interval [0 1] or a string identifying the type of coordinates to use in the plot.

    If $plots.alpha='rowprincipal'$ the row points are in principal coordinates and the column coordinates are standard coordinates. Distances between row points are (approximated) chi-squared distances (row-metric-preserving). The position of the row points are at the weighted average of the column points.

    Note that 'rowprincipal' can also be specified setting plots.alpha=1.

    If $plots.alpha='colprincipal'$, the column coordinates are referred to as principal coordinates and the row coordinates as standard coordinates.

    Distances between column points are (approximated) chi-squared distances (column-metric-preserving). The position of the column points are at the weighted average of the row points.

    Note that 'colprincipal' can also be specified setting plots.alpha=0.

    If $plots.alpha='symbiplot'$, the row and column coordinates are scaled similarly. The sum of weighted squared coordinates for each dimension is equal to the corresponding singular values. These coordinates are often called symmetrical coordinates. This representation is particularly useful if one is primarily interested in the relationships between categories of row and column variables rather than in the distances among rows or among columns. 'symbiplot' can also be specified setting plots.alpha=0.5;

    If $plots.alpha='bothprincipal'$, both the rows and columns are depicted in principal coordinates. Such a plot is often referred to as a symmetrical plot or French symemtrical model. Note that such a symmetrical plot does not provide a feasible solution in the sense that it does not approximate matrix $D_r^{-0.5}(P-rc')D_c^{-0.5}$.

    If $plots.alpha='bothstandard'$, both the rows and columns are depicted in standard coordinates.

    If $plots.alpha='rowgab'$, rows are in principal coordinates and columns are in standard coordinates multiplied by the mass. This biplot has been suggested by Gabriel and Odoroff (1990).

    If $plots.alpha='colgab'$, columns are in principal coordinates and rows are in standard coordinates multiplied by the mass. This biplot has been suggested by Gabriel and Odoroff (1990).

    If $plots.alpha='rowgreen'$, rows are in principal coordinates and columns are in standard coordinates multiplied by square root of the mass.

    This biplot has been suggested by Greenacre and incorporates the contribution of points. In this display, points that contribute very little to the solution, are close to the center of the biplot and are relatively unimportant to the interpretation. This biplot is often referred as contribution biplot because it visually shows the most contributing points (Greenacre 2006b).

    If $plots.alpha='colgreen'$, columns in principal coordinates and rows in standard coordinates multiplied by the square root of the mass.

    This biplot has been suggested by Greenacre and incorporates the contribution of points. In this display, points that contribute very little to the solution, are close to the center of the biplot and are relatively unimportant to the interpretation. This biplot is often referred as contribution biplot because it shows visually the most contributing points (Greenacre 2006b).

    If $plots.alpha=scalar$ in the interval [0 1], row coordinates are given by $D_r^{-1/2} U \Gamma^\alpha$ and column coordinates are given by $D_c^{-1/2} V \Gamma^{1-\alpha}$. Note that for any choice of $\alpha$ the matrix product $ D_r^{-1/2} U \Gamma^\alpha (D_c^{-1/2} V \Gamma^{1-\alpha})^T$ optimally approximates matrix $D_r^{-0.5}(P-rc')D_c^{-0.5}$, in the sense that the sum of squared differences between $D_r^{1/2} D_r^{-1/2} U \Gamma^\alpha (D_c^{-1/2} V \Gamma^{1-\alpha})^T D_c^{1/2}$ and $D_r^{-0.5}(P-rc')D_c^{-0.5}$ is as small as possible.
    FontSize

    scalar which specifies the font size of row labels. The default value is 10.
    FontSizeSup

    scalar which specifies the font size of row labels of supplementary points. The default value is 10.
    MarkerSize

    scalar which specifies the marker size of symbols associated with rows. The default value is 10.
    SymbolRows

    character which specifies the symbol to use for row points. If this field is not present the default symbols is 'o'.
    SymbolRowsSup

    character which specifies the symbol to use for supplementary row points. If this field is not present the default symbols is 'o'.
    ColorRows

    character which specifies the symbol to use for row points or RGB triplet. If this field is not present the default color is 'b'.
    ColorCols

    character which specifies the symbol to use for column points or RGB triplet. If this field is not present the default color is 'r'.
    ColorRowsSup

    character which specifies the symbol to use for row points or RGB triplet. If this field is not present the default color is 'b'.
    ColorColsSup

    character which specifies the symbol to use for supplementary column points or RGB triplet. If this field is not present the default color is 'r'.
    MarkerFaceColorRows

    character which specifies the marker fill color to use for active row points or RGB triplet. If this field is not present the default color is 'auto'.
    MarkerFaceColorRowsSup

    character which specifies the marker fill color to use for supplementary row points or RGB triplet. If this field is not present the default color is 'auto'.

    Example: 'plots',plots=struct; plots.colorcols='k'

    Data Types: double

    addx —horizontal displacement for labels.scalar.

    Amount of horizontal displacement which has been put on the labels in the plot. The defalut value of addx is 0.04.

    Example: 'addx',0.01

    Data Types: double

    addy —vertical displacement for labels.scalar.

    Amount of vertical displacement which has been put on the labels in the plot. The defalut value of addy is 0.

    Example: 'addy',0.01

    Data Types: double

    changedimsign —change chosen dimension sign.boolean vector of length 2.

    Sometimes for better interpretability it is necessary to change the sign of the coordinates for the chosen dimension. If changedimsign(1) is true the sign of the coordinates for first chosen dimension is changed. If changedimsign(2) is true the sign of the coordinates for first chosen dimension is changed. As default the dimensions are the first and the second however, they can be changed using option plots.dim. The defaul value of changedimsign is [false false] that is the sign is not changed.

    Example: 'changedimsign', [true false]

    Data Types: boolean

    xlimx —Min and Max of the x axis.vector.

    Vector with two elements controlling minimum and maximum of the x axis.

    Example: 'xlimx',[-1 1]

    Data Types: double

    ylimy —Min and Max of the y axis.vector.

    Vector with two elements controlling minimum and maximum of the y axis.

    Example: 'ylimy',[0 1]

    Data Types: double

    d1 —Dimension to show on the horizontal axis.positive integer.

    Positive integer in the range 1, 2, .., K which indicates the dimension to show on the x axis. The default value of d1 is 1.

    Example: 'd1',2

    Data Types: single | double

    d2 —Dimension to show on the vertical axis.positive integer.

    Positive integer in the range 1, 2, .., K which indicates the dimension to show on the y axis. The default value of d2 is 2.

    Example: 'd2',3

    Data Types: single | double

    h —the axis handle of a figure where to send the moonplot.this can be used to host the moonplot in a subplot of a complex figure formed by different panels (for example a panel with moonplot from plots.

    alpha=0.2 and another with moonplot from plots.alpha=0.5).

    Example: 'h',h1 where h1=subplot(2,1,1)

    Data Types: Axes object (supplied as a scalar)

    Output Arguments

    expand all

    References

    Benzecri, J.-P. (1992), "Correspondence Analysis Handbook", New-York, Dekker.

    Benzecri, J.-P. (1980), "L'analyse des donnees tome 2: l'analyse des correspondances", Paris, Bordas.

    Greenacre, M.J. (1993), "Correspondence Analysis in Practice", London, Academic Press.

    Bock, T. (2011), Improving the display of correspondence analysis using moon plots, "International Journal of Market Research", Vol. 53, pp. 307-326.

    Gabriel, K.R. and Odoroff, C. (1990), Biplots in biomedical research, "Statistics in Medicine", Vol. 9, pp. 469-485.

    Greenacre, M.J. (1993), Biplots in correspondence Analysis, "Journal of Applied Statistics", Vol. 20, pp. 251-269.

    See Also

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