library(ggplot2) library(pander)
ggAggHist <- getFromNamespace("ggAggHist", "dataMaid") ggAggBarplot <- getFromNamespace("ggAggBarplot", "dataMaid")
The dataset examined has the following dimensions:
Feature Result
Number of observations 100
The following variable checks were performed, depending on the data type of each variable:
character factor labelled numeric integer logical Date
Identify miscoded missing values $\times$ $\times$ $\times$ $\times$ $\times$ $\times$
Identify prefixed and suffixed whitespace $\times$ $\times$ $\times$
Identify levels with < 6 obs. $\times$ $\times$ $\times$
Identify case issues $\times$ $\times$ $\times$
Identify misclassified numeric or integer variables $\times$ $\times$ $\times$
Non-supported variable types were set to be handled in the following way:
Please note that all numerical values in the following have been rounded to 2 decimals.
Variable class # unique values Missing observations Any problems?
[complexVar] complex 100 0.00 %
\bminione
Feature Result
Variable type complex
Number of missing obs. 0 (0 %)
Number of unique values 100
Median 50.5
1st and 3rd quartiles 25.75; 75.25
\emini \bminitwo
ggAggHist(data = structure(list(factorV = structure(1:20, .Label = c("[1,5.95]", "(5.95,10.9]", "(10.9,15.9]", "(15.9,20.8]", "(20.8,25.8]", "(25.8,30.7]", "(30.7,35.6]", "(35.6,40.6]", "(40.6,45.6]", "(45.6,50.5]", "(50.5,55.5]", "(55.5,60.4]", "(60.4,65.4]", "(65.4,70.3]", "(70.3,75.2]", "(75.2,80.2]", "(80.2,85.2]", "(85.2,90.1]", "(90.1,95]", "(95,100]"), class = "factor"), Freq = c(5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L), xmin = c(1, 5.95, 10.9, 15.85, 20.8, 25.75, 30.7, 35.65, 40.6, 45.55, 50.5, 55.45, 60.4, 65.35, 70.3, 75.25, 80.2, 85.15, 90.1, 95.05), xmax = c(5.95, 10.9, 15.85, 20.8, 25.75, 30.7, 35.65, 40.6, 45.55, 50.5, 55.45, 60.4, 65.35, 70.3, 75.25, 80.2, 85.15, 90.1, 95.05, 100), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L)), .Names = c("factorV", "Freq", "xmin", "xmax", "ymin", "ymax"), row.names = c(NA, -20L ), class = "data.frame"), vnam = "complexVar")
\emini
\fullline
\bminione
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 100
Median 50.5
1st and 3rd quartiles 25.75; 75.25
\emini \bminitwo
ggAggHist(data = structure(list(factorV = structure(1:20, .Label = c("[1,5.95]", "(5.95,10.9]", "(10.9,15.9]", "(15.9,20.8]", "(20.8,25.8]", "(25.8,30.7]", "(30.7,35.6]", "(35.6,40.6]", "(40.6,45.6]", "(45.6,50.5]", "(50.5,55.5]", "(55.5,60.4]", "(60.4,65.4]", "(65.4,70.3]", "(70.3,75.2]", "(75.2,80.2]", "(80.2,85.2]", "(85.2,90.1]", "(90.1,95]", "(95,100]"), class = "factor"), Freq = c(5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L), xmin = c(1, 5.95, 10.9, 15.85, 20.8, 25.75, 30.7, 35.65, 40.6, 45.55, 50.5, 55.45, 60.4, 65.35, 70.3, 75.25, 80.2, 85.15, 90.1, 95.05), xmax = c(5.95, 10.9, 15.85, 20.8, 25.75, 30.7, 35.65, 40.6, 45.55, 50.5, 55.45, 60.4, 65.35, 70.3, 75.25, 80.2, 85.15, 90.1, 95.05, 100), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L)), .Names = c("factorV", "Freq", "xmin", "xmax", "ymin", "ymax"), row.names = c(NA, -20L ), class = "data.frame"), vnam = "numericVar")
\emini
\fullline
Report generation information:
Created by Claus Thorn Ekstrøm (username: cld189
).
Report creation time: Wed Apr 11 2018 01:02:23
Report Was run from directory: /Users/cld189/ku/R/cleanR/latex
dataMaid v1.1.0 [Pkg: 2018-03-02 from local (ekstroem/dataMaid@NA)]
R version 3.4.4 (2018-03-15).
Platform: x86_64-apple-darwin15.6.0 (64-bit)(macOS High Sierra 10.13.3).
Function call: makeDataReport(data = complexData, replace = TRUE, treatXasY = list(complex = "numeric"))
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