splitmix: splitmix
In PCAmixdata: Multivariate Analysis of Mixed Data
Description
Usage
Arguments
Value
Examples
Description
Splits a mixed data matrix in two data sets: one with the quantitative variables and one with the qualitative variables. Here, the columns of class "integer are considered quantitative. If you want this column to be considered as qualitative, it must be of class character of factor.
Usage
1
Arguments
data
a data matrix or a data.frame with a mixture of quantitative and qualitative variables.
Value
X.quanti
a data matrix containing only the quantitative variables.
X.quali
A data.frame containing only the qualitative variables.
Examples
1
2
3
4
Example output
Warning message:
In splitmix(decathlon) :
Columns of class integer are considered as quantitative
X100m Long.jump Shot.put High.jump X400m X110m.hurdle Discus
SEBRLE 11.04 7.58 14.83 2.07 49.81 14.69 43.75
CLAY 10.76 7.40 14.26 1.86 49.37 14.05 50.72
KARPOV 11.02 7.30 14.77 2.04 48.37 14.09 48.95
BERNARD 11.02 7.23 14.25 1.92 48.93 14.99 40.87
YURKOV 11.34 7.09 15.19 2.10 50.42 15.31 46.26
WARNERS 11.11 7.60 14.31 1.98 48.68 14.23 41.10
ZSIVOCZKY 11.13 7.30 13.48 2.01 48.62 14.17 45.67
McMULLEN 10.83 7.31 13.76 2.13 49.91 14.38 44.41
MARTINEAU 11.64 6.81 14.57 1.95 50.14 14.93 47.60
HERNU 11.37 7.56 14.41 1.86 51.10 15.06 44.99
BARRAS 11.33 6.97 14.09 1.95 49.48 14.48 42.10
NOOL 11.33 7.27 12.68 1.98 49.20 15.29 37.92
BOURGUIGNON 11.36 6.80 13.46 1.86 51.16 15.67 40.49
Sebrle 10.85 7.84 16.36 2.12 48.36 14.05 48.72
Clay 10.44 7.96 15.23 2.06 49.19 14.13 50.11
Karpov 10.50 7.81 15.93 2.09 46.81 13.97 51.65
Macey 10.89 7.47 15.73 2.15 48.97 14.56 48.34
Warners 10.62 7.74 14.48 1.97 47.97 14.01 43.73
Zsivoczky 10.91 7.14 15.31 2.12 49.40 14.95 45.62
Hernu 10.97 7.19 14.65 2.03 48.73 14.25 44.72
Nool 10.80 7.53 14.26 1.88 48.81 14.80 42.05
Bernard 10.69 7.48 14.80 2.12 49.13 14.17 44.75
Schwarzl 10.98 7.49 14.01 1.94 49.76 14.25 42.43
Pogorelov 10.95 7.31 15.10 2.06 50.79 14.21 44.60
Schoenbeck 10.90 7.30 14.77 1.88 50.30 14.34 44.41
Barras 11.14 6.99 14.91 1.94 49.41 14.37 44.83
Smith 10.85 6.81 15.24 1.91 49.27 14.01 49.02
Averyanov 10.55 7.34 14.44 1.94 49.72 14.39 39.88
Ojaniemi 10.68 7.50 14.97 1.94 49.12 15.01 40.35
Smirnov 10.89 7.07 13.88 1.94 49.11 14.77 42.47
Qi 11.06 7.34 13.55 1.97 49.65 14.78 45.13
Drews 10.87 7.38 13.07 1.88 48.51 14.01 40.11
Parkhomenko 11.14 6.61 15.69 2.03 51.04 14.88 41.90
Terek 10.92 6.94 15.15 1.94 49.56 15.12 45.62
Gomez 11.08 7.26 14.57 1.85 48.61 14.41 40.95
Turi 11.08 6.91 13.62 2.03 51.67 14.26 39.83
Lorenzo 11.10 7.03 13.22 1.85 49.34 15.38 40.22
Karlivans 11.33 7.26 13.30 1.97 50.54 14.98 43.34
Korkizoglou 10.86 7.07 14.81 1.94 51.16 14.96 46.07
Uldal 11.23 6.99 13.53 1.85 50.95 15.09 43.01
Casarsa 11.36 6.68 14.92 1.94 53.20 15.39 48.66
Pole.vault Javeline X1500m Rank Points
SEBRLE 5.02 63.19 291.70 1 8217
CLAY 4.92 60.15 301.50 2 8122
KARPOV 4.92 50.31 300.20 3 8099
BERNARD 5.32 62.77 280.10 4 8067
YURKOV 4.72 63.44 276.40 5 8036
WARNERS 4.92 51.77 278.10 6 8030
ZSIVOCZKY 4.42 55.37 268.00 7 8004
McMULLEN 4.42 56.37 285.10 8 7995
MARTINEAU 4.92 52.33 262.10 9 7802
HERNU 4.82 57.19 285.10 10 7733
BARRAS 4.72 55.40 282.00 11 7708
NOOL 4.62 57.44 266.60 12 7651
BOURGUIGNON 5.02 54.68 291.70 13 7313
Sebrle 5.00 70.52 280.01 1 8893
Clay 4.90 69.71 282.00 2 8820
Karpov 4.60 55.54 278.11 3 8725
Macey 4.40 58.46 265.42 4 8414
Warners 4.90 55.39 278.05 5 8343
Zsivoczky 4.70 63.45 269.54 6 8287
Hernu 4.80 57.76 264.35 7 8237
Nool 5.40 61.33 276.33 8 8235
Bernard 4.40 55.27 276.31 9 8225
Schwarzl 5.10 56.32 273.56 10 8102
Pogorelov 5.00 53.45 287.63 11 8084
Schoenbeck 5.00 60.89 278.82 12 8077
Barras 4.60 64.55 267.09 13 8067
Smith 4.20 61.52 272.74 14 8023
Averyanov 4.80 54.51 271.02 15 8021
Ojaniemi 4.60 59.26 275.71 16 8006
Smirnov 4.70 60.88 263.31 17 7993
Qi 4.50 60.79 272.63 18 7934
Drews 5.00 51.53 274.21 19 7926
Parkhomenko 4.80 65.82 277.94 20 7918
Terek 5.30 50.62 290.36 21 7893
Gomez 4.40 60.71 269.70 22 7865
Turi 4.80 59.34 290.01 23 7708
Lorenzo 4.50 58.36 263.08 24 7592
Karlivans 4.50 52.92 278.67 25 7583
Korkizoglou 4.70 53.05 317.00 26 7573
Uldal 4.50 60.00 281.70 27 7495
Casarsa 4.40 58.62 296.12 28 7404
Competition
SEBRLE Decastar
CLAY Decastar
KARPOV Decastar
BERNARD Decastar
YURKOV Decastar
WARNERS Decastar
ZSIVOCZKY Decastar
McMULLEN Decastar
MARTINEAU Decastar
HERNU Decastar
BARRAS Decastar
NOOL Decastar
BOURGUIGNON Decastar
Sebrle OlympicG
Clay OlympicG
Karpov OlympicG
Macey OlympicG
Warners OlympicG
Zsivoczky OlympicG
Hernu OlympicG
Nool OlympicG
Bernard OlympicG
Schwarzl OlympicG
Pogorelov OlympicG
Schoenbeck OlympicG
Barras OlympicG
Smith OlympicG
Averyanov OlympicG
Ojaniemi OlympicG
Smirnov OlympicG
Qi OlympicG
Drews OlympicG
Parkhomenko OlympicG
Terek OlympicG
Gomez OlympicG
Turi OlympicG
Lorenzo OlympicG
Karlivans OlympicG
Korkizoglou OlympicG
Uldal OlympicG
Casarsa OlympicG
PCAmixdata documentation built on May 2, 2019, 12:38 p.m.
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Description Usage Arguments Value Examples
Description
Splits a mixed data matrix in two data sets: one with the quantitative variables and one with the qualitative variables. Here, the columns of class "integer are considered quantitative. If you want this column to be considered as qualitative, it must be of class character of factor.
Usage
1 |
Arguments
data |
a data matrix or a data.frame with a mixture of quantitative and qualitative variables. |
Value
X.quanti |
a data matrix containing only the quantitative variables. |
X.quali |
A data.frame containing only the qualitative variables. |
Examples
1 2 3 4 |
Example output
Warning message:
In splitmix(decathlon) :
Columns of class integer are considered as quantitative
X100m Long.jump Shot.put High.jump X400m X110m.hurdle Discus
SEBRLE 11.04 7.58 14.83 2.07 49.81 14.69 43.75
CLAY 10.76 7.40 14.26 1.86 49.37 14.05 50.72
KARPOV 11.02 7.30 14.77 2.04 48.37 14.09 48.95
BERNARD 11.02 7.23 14.25 1.92 48.93 14.99 40.87
YURKOV 11.34 7.09 15.19 2.10 50.42 15.31 46.26
WARNERS 11.11 7.60 14.31 1.98 48.68 14.23 41.10
ZSIVOCZKY 11.13 7.30 13.48 2.01 48.62 14.17 45.67
McMULLEN 10.83 7.31 13.76 2.13 49.91 14.38 44.41
MARTINEAU 11.64 6.81 14.57 1.95 50.14 14.93 47.60
HERNU 11.37 7.56 14.41 1.86 51.10 15.06 44.99
BARRAS 11.33 6.97 14.09 1.95 49.48 14.48 42.10
NOOL 11.33 7.27 12.68 1.98 49.20 15.29 37.92
BOURGUIGNON 11.36 6.80 13.46 1.86 51.16 15.67 40.49
Sebrle 10.85 7.84 16.36 2.12 48.36 14.05 48.72
Clay 10.44 7.96 15.23 2.06 49.19 14.13 50.11
Karpov 10.50 7.81 15.93 2.09 46.81 13.97 51.65
Macey 10.89 7.47 15.73 2.15 48.97 14.56 48.34
Warners 10.62 7.74 14.48 1.97 47.97 14.01 43.73
Zsivoczky 10.91 7.14 15.31 2.12 49.40 14.95 45.62
Hernu 10.97 7.19 14.65 2.03 48.73 14.25 44.72
Nool 10.80 7.53 14.26 1.88 48.81 14.80 42.05
Bernard 10.69 7.48 14.80 2.12 49.13 14.17 44.75
Schwarzl 10.98 7.49 14.01 1.94 49.76 14.25 42.43
Pogorelov 10.95 7.31 15.10 2.06 50.79 14.21 44.60
Schoenbeck 10.90 7.30 14.77 1.88 50.30 14.34 44.41
Barras 11.14 6.99 14.91 1.94 49.41 14.37 44.83
Smith 10.85 6.81 15.24 1.91 49.27 14.01 49.02
Averyanov 10.55 7.34 14.44 1.94 49.72 14.39 39.88
Ojaniemi 10.68 7.50 14.97 1.94 49.12 15.01 40.35
Smirnov 10.89 7.07 13.88 1.94 49.11 14.77 42.47
Qi 11.06 7.34 13.55 1.97 49.65 14.78 45.13
Drews 10.87 7.38 13.07 1.88 48.51 14.01 40.11
Parkhomenko 11.14 6.61 15.69 2.03 51.04 14.88 41.90
Terek 10.92 6.94 15.15 1.94 49.56 15.12 45.62
Gomez 11.08 7.26 14.57 1.85 48.61 14.41 40.95
Turi 11.08 6.91 13.62 2.03 51.67 14.26 39.83
Lorenzo 11.10 7.03 13.22 1.85 49.34 15.38 40.22
Karlivans 11.33 7.26 13.30 1.97 50.54 14.98 43.34
Korkizoglou 10.86 7.07 14.81 1.94 51.16 14.96 46.07
Uldal 11.23 6.99 13.53 1.85 50.95 15.09 43.01
Casarsa 11.36 6.68 14.92 1.94 53.20 15.39 48.66
Pole.vault Javeline X1500m Rank Points
SEBRLE 5.02 63.19 291.70 1 8217
CLAY 4.92 60.15 301.50 2 8122
KARPOV 4.92 50.31 300.20 3 8099
BERNARD 5.32 62.77 280.10 4 8067
YURKOV 4.72 63.44 276.40 5 8036
WARNERS 4.92 51.77 278.10 6 8030
ZSIVOCZKY 4.42 55.37 268.00 7 8004
McMULLEN 4.42 56.37 285.10 8 7995
MARTINEAU 4.92 52.33 262.10 9 7802
HERNU 4.82 57.19 285.10 10 7733
BARRAS 4.72 55.40 282.00 11 7708
NOOL 4.62 57.44 266.60 12 7651
BOURGUIGNON 5.02 54.68 291.70 13 7313
Sebrle 5.00 70.52 280.01 1 8893
Clay 4.90 69.71 282.00 2 8820
Karpov 4.60 55.54 278.11 3 8725
Macey 4.40 58.46 265.42 4 8414
Warners 4.90 55.39 278.05 5 8343
Zsivoczky 4.70 63.45 269.54 6 8287
Hernu 4.80 57.76 264.35 7 8237
Nool 5.40 61.33 276.33 8 8235
Bernard 4.40 55.27 276.31 9 8225
Schwarzl 5.10 56.32 273.56 10 8102
Pogorelov 5.00 53.45 287.63 11 8084
Schoenbeck 5.00 60.89 278.82 12 8077
Barras 4.60 64.55 267.09 13 8067
Smith 4.20 61.52 272.74 14 8023
Averyanov 4.80 54.51 271.02 15 8021
Ojaniemi 4.60 59.26 275.71 16 8006
Smirnov 4.70 60.88 263.31 17 7993
Qi 4.50 60.79 272.63 18 7934
Drews 5.00 51.53 274.21 19 7926
Parkhomenko 4.80 65.82 277.94 20 7918
Terek 5.30 50.62 290.36 21 7893
Gomez 4.40 60.71 269.70 22 7865
Turi 4.80 59.34 290.01 23 7708
Lorenzo 4.50 58.36 263.08 24 7592
Karlivans 4.50 52.92 278.67 25 7583
Korkizoglou 4.70 53.05 317.00 26 7573
Uldal 4.50 60.00 281.70 27 7495
Casarsa 4.40 58.62 296.12 28 7404
Competition
SEBRLE Decastar
CLAY Decastar
KARPOV Decastar
BERNARD Decastar
YURKOV Decastar
WARNERS Decastar
ZSIVOCZKY Decastar
McMULLEN Decastar
MARTINEAU Decastar
HERNU Decastar
BARRAS Decastar
NOOL Decastar
BOURGUIGNON Decastar
Sebrle OlympicG
Clay OlympicG
Karpov OlympicG
Macey OlympicG
Warners OlympicG
Zsivoczky OlympicG
Hernu OlympicG
Nool OlympicG
Bernard OlympicG
Schwarzl OlympicG
Pogorelov OlympicG
Schoenbeck OlympicG
Barras OlympicG
Smith OlympicG
Averyanov OlympicG
Ojaniemi OlympicG
Smirnov OlympicG
Qi OlympicG
Drews OlympicG
Parkhomenko OlympicG
Terek OlympicG
Gomez OlympicG
Turi OlympicG
Lorenzo OlympicG
Karlivans OlympicG
Korkizoglou OlympicG
Uldal OlympicG
Casarsa OlympicG
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