lignite: Sieve Test Data Object Example

In sievetest: Laboratory Sieve Test Reporting Functions

Description

This is example std object, which is used in examples and in demo code. It is based on sieve test results of powdered lignite.

Usage

data(lignite)

Examples

data(lignite)
str(lignite)
summary(lignite)
plot(lignite)

Example output

List of 3
 $ :List of 9
  ..$ Description   : chr "Sivetest Package Lignite Coal Demo"
  ..$ Title         : chr "Lignite"
  ..$ Sample        : chr "Sample_1"
  ..$ Unit          : chr "Mill_3"
  ..$ Date          : chr "2014-05-01"
  ..$ stdata        :'data.frame':	4 obs. of  6 variables:
  .. ..$ a: num [1:4] 500 200 90 0
  .. ..$ r: num [1:4] 2.01 24 43.8 30.19
  .. ..$ O: num [1:4] 2.01 26.01 69.81 100
  .. ..$ U: num [1:4] 98 74 30.2 0
  .. ..$ X: num [1:4] 6.21 5.3 4.5 -Inf
  .. ..$ Y: num [1:4] 1.363 0.298 -1.023 -Inf
  ..$ lmfit         :List of 12
  .. ..$ coefficients : Named num [1:2] -7.19 1.39
  .. .. ..- attr(*, "names")= chr [1:2] "(Intercept)" "X"
  .. ..$ residuals    : Named num [1:3] -0.0651 0.1397 -0.0746
  .. .. ..- attr(*, "names")= chr [1:3] "2" "3" "4"
  .. ..$ effects      : Named num [1:3] -0.368 1.682 -0.171
  .. .. ..- attr(*, "names")= chr [1:3] "(Intercept)" "X" ""
  .. ..$ rank         : int 2
  .. ..$ fitted.values: Named num [1:3] 1.428 0.158 -0.949
  .. .. ..- attr(*, "names")= chr [1:3] "2" "3" "4"
  .. ..$ assign       : int [1:2] 0 1
  .. ..$ qr           :List of 5
  .. .. ..$ qr   : num [1:3, 1:2] -1.732 0.577 0.577 -9.245 1.213 ...
  .. .. .. ..- attr(*, "dimnames")=List of 2
  .. .. .. .. ..$ : chr [1:3] "2" "3" "4"
  .. .. .. .. ..$ : chr [1:2] "(Intercept)" "X"
  .. .. .. ..- attr(*, "assign")= int [1:2] 0 1
  .. .. ..$ qraux: num [1:2] 1.58 1.3
  .. .. ..$ pivot: int [1:2] 1 2
  .. .. ..$ tol  : num 1e-07
  .. .. ..$ rank : int 2
  .. .. ..- attr(*, "class")= chr "qr"
  .. ..$ df.residual  : int 1
  .. ..$ xlevels      : Named list()
  .. ..$ call         : language lm(formula = Y ~ X, data = list(a = c(500, 200, 90), r = c(2.010020100201,  24.0002400024, 43.80043800438), O = c| __truncated__ ...
  .. ..$ terms        :Classes 'terms', 'formula'  language Y ~ X
  .. .. .. ..- attr(*, "variables")= language list(Y, X)
  .. .. .. ..- attr(*, "factors")= int [1:2, 1] 0 1
  .. .. .. .. ..- attr(*, "dimnames")=List of 2
  .. .. .. .. .. ..$ : chr [1:2] "Y" "X"
  .. .. .. .. .. ..$ : chr "X"
  .. .. .. ..- attr(*, "term.labels")= chr "X"
  .. .. .. ..- attr(*, "order")= int 1
  .. .. .. ..- attr(*, "intercept")= int 1
  .. .. .. ..- attr(*, "response")= int 1
  .. .. .. ..- attr(*, ".Environment")=<environment: 0x18cfba0> 
  .. .. .. ..- attr(*, "predvars")= language list(Y, X)
  .. .. .. ..- attr(*, "dataClasses")= Named chr [1:2] "numeric" "numeric"
  .. .. .. .. ..- attr(*, "names")= chr [1:2] "Y" "X"
  .. ..$ model        :'data.frame':	3 obs. of  2 variables:
  .. .. ..$ Y: num [1:3] 1.363 0.298 -1.023
  .. .. ..$ X: num [1:3] 6.21 5.3 4.5
  .. .. ..- attr(*, "terms")=Classes 'terms', 'formula'  language Y ~ X
  .. .. .. .. ..- attr(*, "variables")= language list(Y, X)
  .. .. .. .. ..- attr(*, "factors")= int [1:2, 1] 0 1
  .. .. .. .. .. ..- attr(*, "dimnames")=List of 2
  .. .. .. .. .. .. ..$ : chr [1:2] "Y" "X"
  .. .. .. .. .. .. ..$ : chr "X"
  .. .. .. .. ..- attr(*, "term.labels")= chr "X"
  .. .. .. .. ..- attr(*, "order")= int 1
  .. .. .. .. ..- attr(*, "intercept")= int 1
  .. .. .. .. ..- attr(*, "response")= int 1
  .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x18cfba0> 
  .. .. .. .. ..- attr(*, "predvars")= language list(Y, X)
  .. .. .. .. ..- attr(*, "dataClasses")= Named chr [1:2] "numeric" "numeric"
  .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "Y" "X"
  .. ..- attr(*, "class")= chr "lm"
  ..$ RRcoefficients:List of 2
  .. ..$ diameter: Named num 178
  .. .. ..- attr(*, "names")= chr "xs"
  .. ..$ exponent: Named num 1.39
  .. .. ..- attr(*, "names")= chr "ex"
  ..$ size          :List of 3
  .. ..$ modus: num 70.9
  .. ..$ mean : num 137
  .. ..$ o90um: num 0.679
 $ :List of 9
  ..$ Description   : chr "Sivetest Package Lignite Coal Demo"
  ..$ Title         : chr "Lignite"
  ..$ Sample        : chr "Sample_2"
  ..$ Unit          : chr "Mill_3"
  ..$ Date          : chr "2014-05-01"
  ..$ stdata        :'data.frame':	5 obs. of  6 variables:
  .. ..$ a: num [1:5] 1000 500 200 90 0
  .. ..$ r: num [1:5] 0.001 1.01 20 46.8 32.189
  .. ..$ O: num [1:5] 0.001 1.011 21.011 67.811 100
  .. ..$ U: num [1:5] 100 99 79 32.2 0
  .. ..$ X: num [1:5] 6.91 6.21 5.3 4.5 -Inf
  .. ..$ Y: num [1:5] 2.443 1.525 0.445 -0.946 -Inf
  ..$ lmfit         :List of 12
  .. ..$ coefficients : Named num [1:2] -7.05 1.38
  .. .. ..- attr(*, "names")= chr [1:2] "(Intercept)" "X"
  .. ..$ residuals    : Named num [1:4] -0.0498 -0.0112 0.1743 -0.1133
  .. .. ..- attr(*, "names")= chr [1:4] "1" "2" "3" "4"
  .. ..$ effects      : Named num [1:4] -1.7337 -2.5171 0.1932 -0.0921
  .. .. ..- attr(*, "names")= chr [1:4] "(Intercept)" "X" "" ""
  .. ..$ rank         : int 2
  .. ..$ fitted.values: Named num [1:4] 2.493 1.536 0.27 -0.832
  .. .. ..- attr(*, "names")= chr [1:4] "1" "2" "3" "4"
  .. ..$ assign       : int [1:2] 0 1
  .. ..$ qr           :List of 5
  .. .. ..$ qr   : num [1:4, 1:2] -2 0.5 0.5 0.5 -11.5 ...
  .. .. .. ..- attr(*, "dimnames")=List of 2
  .. .. .. .. ..$ : chr [1:4] "1" "2" "3" "4"
  .. .. .. .. ..$ : chr [1:2] "(Intercept)" "X"
  .. .. .. ..- attr(*, "assign")= int [1:2] 0 1
  .. .. ..$ qraux: num [1:2] 1.5 1.05
  .. .. ..$ pivot: int [1:2] 1 2
  .. .. ..$ tol  : num 1e-07
  .. .. ..$ rank : int 2
  .. .. ..- attr(*, "class")= chr "qr"
  .. ..$ df.residual  : int 2
  .. ..$ xlevels      : Named list()
  .. ..$ call         : language lm(formula = Y ~ X, data = list(a = c(1000, 500, 200, 90), r = c(0.001,  1.01, 20, 46.8), O = c(0.001, 1.011, 21.| __truncated__ ...
  .. ..$ terms        :Classes 'terms', 'formula'  language Y ~ X
  .. .. .. ..- attr(*, "variables")= language list(Y, X)
  .. .. .. ..- attr(*, "factors")= int [1:2, 1] 0 1
  .. .. .. .. ..- attr(*, "dimnames")=List of 2
  .. .. .. .. .. ..$ : chr [1:2] "Y" "X"
  .. .. .. .. .. ..$ : chr "X"
  .. .. .. ..- attr(*, "term.labels")= chr "X"
  .. .. .. ..- attr(*, "order")= int 1
  .. .. .. ..- attr(*, "intercept")= int 1
  .. .. .. ..- attr(*, "response")= int 1
  .. .. .. ..- attr(*, ".Environment")=<environment: 0x18d4958> 
  .. .. .. ..- attr(*, "predvars")= language list(Y, X)
  .. .. .. ..- attr(*, "dataClasses")= Named chr [1:2] "numeric" "numeric"
  .. .. .. .. ..- attr(*, "names")= chr [1:2] "Y" "X"
  .. ..$ model        :'data.frame':	4 obs. of  2 variables:
  .. .. ..$ Y: num [1:4] 2.443 1.525 0.445 -0.946
  .. .. ..$ X: num [1:4] 6.91 6.21 5.3 4.5
  .. .. ..- attr(*, "terms")=Classes 'terms', 'formula'  language Y ~ X
  .. .. .. .. ..- attr(*, "variables")= language list(Y, X)
  .. .. .. .. ..- attr(*, "factors")= int [1:2, 1] 0 1
  .. .. .. .. .. ..- attr(*, "dimnames")=List of 2
  .. .. .. .. .. .. ..$ : chr [1:2] "Y" "X"
  .. .. .. .. .. .. ..$ : chr "X"
  .. .. .. .. ..- attr(*, "term.labels")= chr "X"
  .. .. .. .. ..- attr(*, "order")= int 1
  .. .. .. .. ..- attr(*, "intercept")= int 1
  .. .. .. .. ..- attr(*, "response")= int 1
  .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x18d4958> 
  .. .. .. .. ..- attr(*, "predvars")= language list(Y, X)
  .. .. .. .. ..- attr(*, "dataClasses")= Named chr [1:2] "numeric" "numeric"
  .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "Y" "X"
  .. ..- attr(*, "class")= chr "lm"
  ..$ RRcoefficients:List of 2
  .. ..$ diameter: Named num 164
  .. .. ..- attr(*, "names")= chr "xs"
  .. ..$ exponent: Named num 1.38
  .. .. ..- attr(*, "names")= chr "ex"
  ..$ size          :List of 3
  .. ..$ modus: num 64.7
  .. ..$ mean : num 126
  .. ..$ o90um: num 0.647
 $ :List of 9
  ..$ Description   : chr "Sivetest Package Lignite Coal Demo"
  ..$ Title         : chr "Lignite"
  ..$ Sample        : chr "Sample_3"
  ..$ Unit          : chr "Mill_3"
  ..$ Date          : chr "2014-05-01"
  ..$ stdata        :'data.frame':	4 obs. of  6 variables:
  .. ..$ a: num [1:4] 500 200 90 0
  .. ..$ r: num [1:4] 1.01 20 46.8 32.19
  .. ..$ O: num [1:4] 1.01 21.01 67.81 100
  .. ..$ U: num [1:4] 99 79 32.2 0
  .. ..$ X: num [1:4] 6.21 5.3 4.5 -Inf
  .. ..$ Y: num [1:4] 1.525 0.445 -0.946 -Inf
  .. ..- attr(*, "na.action")=Class 'exclude'  Named int 5
  .. .. .. ..- attr(*, "names")= chr "5"
  ..$ lmfit         :List of 12
  .. ..$ coefficients : Named num [1:2] -7.31 1.43
  .. .. ..- attr(*, "names")= chr [1:2] "(Intercept)" "X"
  .. ..$ residuals    : Named num [1:3] -0.0744 0.1597 -0.0853
  .. .. ..- attr(*, "names")= chr [1:3] "1" "2" "3"
  .. ..$ effects      : Named num [1:3] -0.591 1.741 -0.196
  .. .. ..- attr(*, "names")= chr [1:3] "(Intercept)" "X" ""
  .. ..$ rank         : int 2
  .. ..$ fitted.values: Named num [1:3] 1.599 0.285 -0.86
  .. .. ..- attr(*, "names")= chr [1:3] "1" "2" "3"
  .. ..$ assign       : int [1:2] 0 1
  .. ..$ qr           :List of 5
  .. .. ..$ qr   : num [1:3, 1:2] -1.732 0.577 0.577 -9.245 1.213 ...
  .. .. .. ..- attr(*, "dimnames")=List of 2
  .. .. .. .. ..$ : chr [1:3] "1" "2" "3"
  .. .. .. .. ..$ : chr [1:2] "(Intercept)" "X"
  .. .. .. ..- attr(*, "assign")= int [1:2] 0 1
  .. .. ..$ qraux: num [1:2] 1.58 1.3
  .. .. ..$ pivot: int [1:2] 1 2
  .. .. ..$ tol  : num 1e-07
  .. .. ..$ rank : int 2
  .. .. ..- attr(*, "class")= chr "qr"
  .. ..$ df.residual  : int 1
  .. ..$ xlevels      : Named list()
  .. ..$ call         : language lm(formula = Y ~ X, data = list(a = c(500, 200, 90), r = c(1.010010100101,  20.000200002, 46.80046800468), O = c(| __truncated__ ...
  .. ..$ terms        :Classes 'terms', 'formula'  language Y ~ X
  .. .. .. ..- attr(*, "variables")= language list(Y, X)
  .. .. .. ..- attr(*, "factors")= int [1:2, 1] 0 1
  .. .. .. .. ..- attr(*, "dimnames")=List of 2
  .. .. .. .. .. ..$ : chr [1:2] "Y" "X"
  .. .. .. .. .. ..$ : chr "X"
  .. .. .. ..- attr(*, "term.labels")= chr "X"
  .. .. .. ..- attr(*, "order")= int 1
  .. .. .. ..- attr(*, "intercept")= int 1
  .. .. .. ..- attr(*, "response")= int 1
  .. .. .. ..- attr(*, ".Environment")=<environment: 0x18da680> 
  .. .. .. ..- attr(*, "predvars")= language list(Y, X)
  .. .. .. ..- attr(*, "dataClasses")= Named chr [1:2] "numeric" "numeric"
  .. .. .. .. ..- attr(*, "names")= chr [1:2] "Y" "X"
  .. ..$ model        :'data.frame':	3 obs. of  2 variables:
  .. .. ..$ Y: num [1:3] 1.525 0.445 -0.946
  .. .. ..$ X: num [1:3] 6.21 5.3 4.5
  .. .. ..- attr(*, "terms")=Classes 'terms', 'formula'  language Y ~ X
  .. .. .. .. ..- attr(*, "variables")= language list(Y, X)
  .. .. .. .. ..- attr(*, "factors")= int [1:2, 1] 0 1
  .. .. .. .. .. ..- attr(*, "dimnames")=List of 2
  .. .. .. .. .. .. ..$ : chr [1:2] "Y" "X"
  .. .. .. .. .. .. ..$ : chr "X"
  .. .. .. .. ..- attr(*, "term.labels")= chr "X"
  .. .. .. .. ..- attr(*, "order")= int 1
  .. .. .. .. ..- attr(*, "intercept")= int 1
  .. .. .. .. ..- attr(*, "response")= int 1
  .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x18da680> 
  .. .. .. .. ..- attr(*, "predvars")= language list(Y, X)
  .. .. .. .. ..- attr(*, "dataClasses")= Named chr [1:2] "numeric" "numeric"
  .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "Y" "X"
  .. ..- attr(*, "class")= chr "lm"
  ..$ RRcoefficients:List of 2
  .. ..$ diameter: Named num 164
  .. .. ..- attr(*, "names")= chr "xs"
  .. ..$ exponent: Named num 1.43
  .. .. ..- attr(*, "names")= chr "ex"
  ..$ size          :List of 3
  .. ..$ modus: num 71.3
  .. ..$ mean : num 127
  .. ..$ o90um: num 0.655
 - attr(*, "class")= chr [1:2] "std" "list"
        Date   Title   Sample   Unit                        Description
1 2014-05-01 Lignite Sample_1 Mill_3 Sivetest Package Lignite Coal Demo
2 2014-05-01 Lignite Sample_2 Mill_3 Sivetest Package Lignite Coal Demo
3 2014-05-01 Lignite Sample_3 Mill_3 Sivetest Package Lignite Coal Demo
      RRxs     RRex     RRms     RRmn RRo90umPPC
1 178.4586 1.385905 70.94055 136.9888   67.89299
2 164.4273 1.381109 64.72873 126.1022   64.72444
3 163.9496 1.434358 71.28673 126.9807   65.50433

sievetest documentation built on May 2, 2019, 8:13 a.m.