
Package index
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P()
- Cumulative distribution function
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Q()
- Quantile distribution function.
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`%>x>%`
`%>X>%`
`%<X<%`
`%<x<%`
`%>=X>=%`
`%>=x>=%`
`%<=X<=%`
`%<=x<=%`
`%>=X>%`
`%>=x>%`
`%>X>=%`
`%>x>=%`
`%<=X<%`
`%<=x<%`
`%<X<=%`
`%<x<=%`
- Regions of probability
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amplitude()
- Amplitude
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apf()
- Plot of probability function of any discrete variable
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barplot(<leem>)
- Barplot graph
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boxplot(<leem>)
- Box plot
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cdfd()
- Plot of cumulative distribution function of any discrete variable
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cv()
- Coefficient of variation
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hist(<leem>)
- Histogram graph
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insert()
- Insert measures of position in plot
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insert(<leem>)
- Insert measures of position in plot
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leem()
- Graphical User Interface for leem package
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madev()
- Mean absolute deviation
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mean(<leem>)
- Arithmetic mean Class method leem for the generic mean function
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medev()
- Median absolute deviation
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median(<leem>)
- Median value
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mfreq()
- Mode value
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mpos()
- Measures of position
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mstde()
- Mean standard error
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new_leem()
- Constructor of object of leem class
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ogive()
- Ogive chart
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piechart()
- Pie Chart
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polyfreq()
- Frequency polygon Graph
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polyfreq(<leem>)
- Frequency polygon Graph
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probnormal()
- Undertanding the probability of the normal distribution
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propofnormal()
- Properties of the normal distribution
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sdev()
- Standard Deviation
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showboxplot()
- Undertanding a box plot
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showcdf()
- Distribution Function Properties
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showci()
- Understanding the Confiance Indice
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showkur()
- Plot of interpretation about Kurtosis
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showpar()
- Interpretation of location and scale parameters
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showskew()
- Plot of interpretation about skewsness
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showtabnormal()
- showtabnormal
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skewness()
- Skewness value
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stickchart()
- Stick chart
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tabfreq()
- Frequency distribution table
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tabfreq(<leem>)
- Frequency distribution table
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th()
- Test of hypothesis
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variance()
- Variance value