R version 3.6.1 (2019-07-05) -- "Action of the Toes"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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> ## testing summarizeDF()
> library( "miscTools" )
> data( "cars" )
>
> summarizeDF( cars )
Summary of data.frame
number of observations: 50
number of variables: 2
MD5: f98a59010652c8e1ee062ed4c43f648e
variable: speed
MD5: 4eb3e01aee9abbc01e91d22b651be559
[,1]
Min. 4.0
1st Qu. 12.0
Median 15.0
Mean 15.4
3rd Qu. 19.0
Max. 25.0
[,1]
4 2
7 2
8 1
9 1
10 3
11 2
12 4
13 4
14 4
15 3
16 2
17 3
18 4
19 3
20 5
22 1
23 1
24 4
25 1
variable: dist
MD5: be6c7701fccdd59b5e47c48881a2acae
[,1]
Min. 2.00
1st Qu. 26.00
Median 36.00
Mean 42.98
3rd Qu. 56.00
Max. 120.00
>
> summarizeDF( cars, maxLevel = 10 )
Summary of data.frame
number of observations: 50
number of variables: 2
MD5: f98a59010652c8e1ee062ed4c43f648e
variable: speed
MD5: 4eb3e01aee9abbc01e91d22b651be559
[,1]
Min. 4.0
1st Qu. 12.0
Median 15.0
Mean 15.4
3rd Qu. 19.0
Max. 25.0
variable: dist
MD5: be6c7701fccdd59b5e47c48881a2acae
[,1]
Min. 2.00
1st Qu. 26.00
Median 36.00
Mean 42.98
3rd Qu. 56.00
Max. 120.00
>
> summarizeDF( cars, printValues = FALSE )
Summary of data.frame
number of observations: 50
number of variables: 2
MD5: f98a59010652c8e1ee062ed4c43f648e
variable: speed
MD5: 4eb3e01aee9abbc01e91d22b651be559
variable: dist
MD5: be6c7701fccdd59b5e47c48881a2acae
>
> tmpFile <- file()
> summarizeDF( cars, file = tmpFile )
> tmpLines <- readLines( tmpFile )
> close( tmpFile )
> print( matrix( tmpLines, ncol = 1 ) )
[,1]
[1,] "Summary of data.frame"
[2,] "number of observations: 50 "
[3,] "number of variables: 2 "
[4,] "MD5: f98a59010652c8e1ee062ed4c43f648e "
[5,] ""
[6,] "variable: speed "
[7,] "MD5: 4eb3e01aee9abbc01e91d22b651be559 "
[8,] " [,1]"
[9,] "Min. 4.0"
[10,] "1st Qu. 12.0"
[11,] "Median 15.0"
[12,] "Mean 15.4"
[13,] "3rd Qu. 19.0"
[14,] "Max. 25.0"
[15,] " [,1]"
[16,] "4 2"
[17,] "7 2"
[18,] "8 1"
[19,] "9 1"
[20,] "10 3"
[21,] "11 2"
[22,] "12 4"
[23,] "13 4"
[24,] "14 4"
[25,] "15 3"
[26,] "16 2"
[27,] "17 3"
[28,] "18 4"
[29,] "19 3"
[30,] "20 5"
[31,] "22 1"
[32,] "23 1"
[33,] "24 4"
[34,] "25 1"
[35,] ""
[36,] "variable: dist "
[37,] "MD5: be6c7701fccdd59b5e47c48881a2acae "
[38,] " [,1]"
[39,] "Min. 2.00"
[40,] "1st Qu. 26.00"
[41,] "Median 36.00"
[42,] "Mean 42.98"
[43,] "3rd Qu. 56.00"
[44,] "Max. 120.00"
[45,] ""
>
>
> data( "iris" )
>
> summarizeDF( iris )
Summary of data.frame
number of observations: 150
number of variables: 5
MD5: d3c5d071001b61a9f6131d3004fd0988
variable: Sepal.Length
MD5: b2bce49565d07c62a84d53cee81d8569
[,1]
Min. 4.300000
1st Qu. 5.100000
Median 5.800000
Mean 5.843333
3rd Qu. 6.400000
Max. 7.900000
variable: Sepal.Width
MD5: 35bd921d86f4fe19d5cadc03c687f538
[,1]
Min. 2.000000
1st Qu. 2.800000
Median 3.000000
Mean 3.057333
3rd Qu. 3.300000
Max. 4.400000
variable: Petal.Length
MD5: e610b9d68cb18ce39b1c0ac098e38bea
[,1]
Min. 1.000
1st Qu. 1.600
Median 4.350
Mean 3.758
3rd Qu. 5.100
Max. 6.900
variable: Petal.Width
MD5: 5f70e007e1a5054816b90e5846c14467
[,1]
Min. 0.100000
1st Qu. 0.300000
Median 1.300000
Mean 1.199333
3rd Qu. 1.800000
Max. 2.500000
variable: Species
MD5: f7e071c073ca18cd4d0d7cf86d961dd1
setosa versicolor virginica
50 50 50
>
> summarizeDF( iris, printValues = FALSE )
Summary of data.frame
number of observations: 150
number of variables: 5
MD5: d3c5d071001b61a9f6131d3004fd0988
variable: Sepal.Length
MD5: b2bce49565d07c62a84d53cee81d8569
variable: Sepal.Width
MD5: 35bd921d86f4fe19d5cadc03c687f538
variable: Petal.Length
MD5: e610b9d68cb18ce39b1c0ac098e38bea
variable: Petal.Width
MD5: 5f70e007e1a5054816b90e5846c14467
variable: Species
MD5: f7e071c073ca18cd4d0d7cf86d961dd1
>
> tmpFile <- file()
> summarizeDF( iris, file = tmpFile )
> tmpLines <- readLines( tmpFile )
> close( tmpFile )
> print( matrix( tmpLines, ncol = 1 ) )
[,1]
[1,] "Summary of data.frame"
[2,] "number of observations: 150 "
[3,] "number of variables: 5 "
[4,] "MD5: d3c5d071001b61a9f6131d3004fd0988 "
[5,] ""
[6,] "variable: Sepal.Length "
[7,] "MD5: b2bce49565d07c62a84d53cee81d8569 "
[8,] " [,1]"
[9,] "Min. 4.300000"
[10,] "1st Qu. 5.100000"
[11,] "Median 5.800000"
[12,] "Mean 5.843333"
[13,] "3rd Qu. 6.400000"
[14,] "Max. 7.900000"
[15,] ""
[16,] "variable: Sepal.Width "
[17,] "MD5: 35bd921d86f4fe19d5cadc03c687f538 "
[18,] " [,1]"
[19,] "Min. 2.000000"
[20,] "1st Qu. 2.800000"
[21,] "Median 3.000000"
[22,] "Mean 3.057333"
[23,] "3rd Qu. 3.300000"
[24,] "Max. 4.400000"
[25,] ""
[26,] "variable: Petal.Length "
[27,] "MD5: e610b9d68cb18ce39b1c0ac098e38bea "
[28,] " [,1]"
[29,] "Min. 1.000"
[30,] "1st Qu. 1.600"
[31,] "Median 4.350"
[32,] "Mean 3.758"
[33,] "3rd Qu. 5.100"
[34,] "Max. 6.900"
[35,] ""
[36,] "variable: Petal.Width "
[37,] "MD5: 5f70e007e1a5054816b90e5846c14467 "
[38,] " [,1]"
[39,] "Min. 0.100000"
[40,] "1st Qu. 0.300000"
[41,] "Median 1.300000"
[42,] "Mean 1.199333"
[43,] "3rd Qu. 1.800000"
[44,] "Max. 2.500000"
[45,] ""
[46,] "variable: Species "
[47,] "MD5: f7e071c073ca18cd4d0d7cf86d961dd1 "
[48,] ""
[49,] " setosa versicolor virginica "
[50,] " 50 50 50 "
[51,] ""
>
>
> data( "swiss" )
>
> summarizeDF( swiss )
Summary of data.frame
number of observations: 47
number of variables: 6
MD5: 4c43fa8a4d8f0cbf65353e397f37338c
variable: Fertility
MD5: 86e625283202d9a9909f099fadc690ad
[,1]
Min. 35.00000
1st Qu. 64.70000
Median 70.40000
Mean 70.14255
3rd Qu. 78.45000
Max. 92.50000
variable: Agriculture
MD5: 5e7bdeff4cbf3e796e073fffe2b8b1f7
[,1]
Min. 1.20000
1st Qu. 35.90000
Median 54.10000
Mean 50.65957
3rd Qu. 67.65000
Max. 89.70000
variable: Examination
MD5: 76a910ec1c2c22996f75a051a3f90192
[,1]
Min. 3.00000
1st Qu. 12.00000
Median 16.00000
Mean 16.48936
3rd Qu. 22.00000
Max. 37.00000
variable: Education
MD5: fb32a176f9e7160350a18f3f58290cc6
[,1]
Min. 1.00000
1st Qu. 6.00000
Median 8.00000
Mean 10.97872
3rd Qu. 12.00000
Max. 53.00000
[,1]
1 1
2 3
3 4
5 2
6 4
7 7
8 4
9 3
10 2
11 1
12 5
13 3
15 1
19 1
20 1
28 1
29 2
32 1
53 1
variable: Catholic
MD5: efd14fbc7763a0ff759d5eb0b4756845
[,1]
Min. 2.15000
1st Qu. 5.19500
Median 15.14000
Mean 41.14383
3rd Qu. 93.12500
Max. 100.00000
variable: Infant.Mortality
MD5: 79534798b7c50423d07bc9522f11c3e4
[,1]
Min. 10.80000
1st Qu. 18.15000
Median 20.00000
Mean 19.94255
3rd Qu. 21.70000
Max. 26.60000
>
> summarizeDF( swiss, maxLevel = 10 )
Summary of data.frame
number of observations: 47
number of variables: 6
MD5: 4c43fa8a4d8f0cbf65353e397f37338c
variable: Fertility
MD5: 86e625283202d9a9909f099fadc690ad
[,1]
Min. 35.00000
1st Qu. 64.70000
Median 70.40000
Mean 70.14255
3rd Qu. 78.45000
Max. 92.50000
variable: Agriculture
MD5: 5e7bdeff4cbf3e796e073fffe2b8b1f7
[,1]
Min. 1.20000
1st Qu. 35.90000
Median 54.10000
Mean 50.65957
3rd Qu. 67.65000
Max. 89.70000
variable: Examination
MD5: 76a910ec1c2c22996f75a051a3f90192
[,1]
Min. 3.00000
1st Qu. 12.00000
Median 16.00000
Mean 16.48936
3rd Qu. 22.00000
Max. 37.00000
variable: Education
MD5: fb32a176f9e7160350a18f3f58290cc6
[,1]
Min. 1.00000
1st Qu. 6.00000
Median 8.00000
Mean 10.97872
3rd Qu. 12.00000
Max. 53.00000
variable: Catholic
MD5: efd14fbc7763a0ff759d5eb0b4756845
[,1]
Min. 2.15000
1st Qu. 5.19500
Median 15.14000
Mean 41.14383
3rd Qu. 93.12500
Max. 100.00000
variable: Infant.Mortality
MD5: 79534798b7c50423d07bc9522f11c3e4
[,1]
Min. 10.80000
1st Qu. 18.15000
Median 20.00000
Mean 19.94255
3rd Qu. 21.70000
Max. 26.60000
>
> summarizeDF( swiss, printValues = FALSE )
Summary of data.frame
number of observations: 47
number of variables: 6
MD5: 4c43fa8a4d8f0cbf65353e397f37338c
variable: Fertility
MD5: 86e625283202d9a9909f099fadc690ad
variable: Agriculture
MD5: 5e7bdeff4cbf3e796e073fffe2b8b1f7
variable: Examination
MD5: 76a910ec1c2c22996f75a051a3f90192
variable: Education
MD5: fb32a176f9e7160350a18f3f58290cc6
variable: Catholic
MD5: efd14fbc7763a0ff759d5eb0b4756845
variable: Infant.Mortality
MD5: 79534798b7c50423d07bc9522f11c3e4
>
> tmpFile <- file()
> summarizeDF( swiss, file = tmpFile )
> tmpLines <- readLines( tmpFile )
> close( tmpFile )
> print( matrix( tmpLines, ncol = 1 ) )
[,1]
[1,] "Summary of data.frame"
[2,] "number of observations: 47 "
[3,] "number of variables: 6 "
[4,] "MD5: 4c43fa8a4d8f0cbf65353e397f37338c "
[5,] ""
[6,] "variable: Fertility "
[7,] "MD5: 86e625283202d9a9909f099fadc690ad "
[8,] " [,1]"
[9,] "Min. 35.00000"
[10,] "1st Qu. 64.70000"
[11,] "Median 70.40000"
[12,] "Mean 70.14255"
[13,] "3rd Qu. 78.45000"
[14,] "Max. 92.50000"
[15,] ""
[16,] "variable: Agriculture "
[17,] "MD5: 5e7bdeff4cbf3e796e073fffe2b8b1f7 "
[18,] " [,1]"
[19,] "Min. 1.20000"
[20,] "1st Qu. 35.90000"
[21,] "Median 54.10000"
[22,] "Mean 50.65957"
[23,] "3rd Qu. 67.65000"
[24,] "Max. 89.70000"
[25,] ""
[26,] "variable: Examination "
[27,] "MD5: 76a910ec1c2c22996f75a051a3f90192 "
[28,] " [,1]"
[29,] "Min. 3.00000"
[30,] "1st Qu. 12.00000"
[31,] "Median 16.00000"
[32,] "Mean 16.48936"
[33,] "3rd Qu. 22.00000"
[34,] "Max. 37.00000"
[35,] ""
[36,] "variable: Education "
[37,] "MD5: fb32a176f9e7160350a18f3f58290cc6 "
[38,] " [,1]"
[39,] "Min. 1.00000"
[40,] "1st Qu. 6.00000"
[41,] "Median 8.00000"
[42,] "Mean 10.97872"
[43,] "3rd Qu. 12.00000"
[44,] "Max. 53.00000"
[45,] " [,1]"
[46,] "1 1"
[47,] "2 3"
[48,] "3 4"
[49,] "5 2"
[50,] "6 4"
[51,] "7 7"
[52,] "8 4"
[53,] "9 3"
[54,] "10 2"
[55,] "11 1"
[56,] "12 5"
[57,] "13 3"
[58,] "15 1"
[59,] "19 1"
[60,] "20 1"
[61,] "28 1"
[62,] "29 2"
[63,] "32 1"
[64,] "53 1"
[65,] ""
[66,] "variable: Catholic "
[67,] "MD5: efd14fbc7763a0ff759d5eb0b4756845 "
[68,] " [,1]"
[69,] "Min. 2.15000"
[70,] "1st Qu. 5.19500"
[71,] "Median 15.14000"
[72,] "Mean 41.14383"
[73,] "3rd Qu. 93.12500"
[74,] "Max. 100.00000"
[75,] ""
[76,] "variable: Infant.Mortality "
[77,] "MD5: 79534798b7c50423d07bc9522f11c3e4 "
[78,] " [,1]"
[79,] "Min. 10.80000"
[80,] "1st Qu. 18.15000"
[81,] "Median 20.00000"
[82,] "Mean 19.94255"
[83,] "3rd Qu. 21.70000"
[84,] "Max. 26.60000"
[85,] ""
>
> proc.time()
user system elapsed
0.113 0.034 0.140
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