Description Usage Arguments Details Value Note Author(s) See Also Examples

Function to compute summary statistics for a 'one-page' report and display in `inset`

. Function may be used stand-alone, and is used as an ‘engine’ for the `gx.summary.*`

series of functions

1 2 | ```
gx.stats(xx, xlab = deparse(substitute(xx)), display = TRUE,
iftell = TRUE)
``` |

`xx` |
name of the variable to be processed. |

`xlab` |
by default the character string for |

`display` |
if |

`iftell` |
by default the NA count is displayed by |

The summary statistics comprise the data minimum, maximum and percentile values, robust estimates of standard deviation, the Median Absolute Deviation (MAD) and the Inter Quartile Standard Deviation (IQSD), and the mean, variance, standard deviation (SD), coefficient of variation (CV%), and the 95% confidence bounds on the median. When the minimum data value is `> 0`

summary statistics are computed after a log10 data transformation and exported back to the calling function.

`stats` |
the computed summary statistics to be used in function |

`[1:10]` |
the minimum value, and the 1st, 2nd, 5th, 10th, 20th, 25th (Q1), 30th, 40th and 50th (Q2) percentiles. |

`[11:19]` |
the 60th, 70th, 75th (Q3), 80th 90th, 95th, 98th and 99th percentiles and the maximum value. |

`[20]` |
the sample size, N. |

`[21]` |
the Median Absolute Deviation (MAD). |

`[22]` |
the Inter-Quartile Standard Deviation (IQSD). |

`[23]` |
the data (sample) Mean. |

`[24]` |
the data (sample) Variance. |

`[25]` |
the data (sample) Standard Deviation (SD). |

`[26]` |
the Coefficient of Variation as a percentage (CV%). |

`[27]` |
the Lower 95% Confidence Limit on the Median. |

`[28]` |
the Upper 95% Confidence Limit on the Median. |

`[29]` |
the log10 transformed data (sample) Mean. |

`[30]` |
the log10 transformed data (sample) Variance. |

`[31]` |
the log10 transformed data (sample) SD. |

`[32]` |
the log10 transformed data (sample) CV%. |

If the minimum data value is `<= 0`

, then `stats[29:32] <- NA`

.

Any less than detection limit values represented by negative values, or zeros or other numeric codes representing blanks in the data, must be removed prior to executing this function, see `ltdl.fix.df`

.

Any `NA`

s in the data vector are removed prior to computation. Depending on the value of `iftell`

, the `NA`

count will be displayed, `iftell = TRUE`

, or suppressed, `iftell = FALSE`

.

The confidence bounds on the median are estimated via the binomial theorem, not by normal approximation.

Robert G. Garrett

1 2 3 4 5 6 7 8 9 10 11 12 |

```
Loading required package: MASS
Loading required package: fastICA
Summary Statistics Display for: Cu
Data Set N = 617
Minimum = 2.69 Maximum = 4080
Median = 9.69 MAD Est = 5.145
IQR Est = 8.414
95% CI for the Median = 9.07 to 10.4
Mean = 43.69 S.D. = 245.5
Variance = 60260 C.V. % = 561.85
Maximum Value 4080
99th Percentile 435.28
98th Percentile 241.08
95th Percentile 98.18
90th Percentile 47.38
80th Percentile 21.68
3rd Quartile (75th) 18.2
70th Percentile 16
60th Percentile 11.56
Median (50th) 9.69
40th Percentile 8.344
30th Percentile 7.372
1st Quartile (25th) 6.85
20th Percentile 6.552
10th Percentile 5.696
5th Percentile 5.06
2nd Percentile 4.7032
1st Percentile 4.4664
Minimum Value 2.69
Summary Statistics Display for: Cu (mg/kg) in <2 mm O-horizon soil
Data Set N = 617
Minimum = 2.69 Maximum = 4080
Median = 9.69 MAD Est = 5.145
IQR Est = 8.414
95% CI for the Median = 9.07 to 10.4
Mean = 43.69 S.D. = 245.5
Variance = 60260 C.V. % = 561.85
Maximum Value 4080
99th Percentile 435.28
98th Percentile 241.08
95th Percentile 98.18
90th Percentile 47.38
80th Percentile 21.68
3rd Quartile (75th) 18.2
70th Percentile 16
60th Percentile 11.56
Median (50th) 9.69
40th Percentile 8.344
30th Percentile 7.372
1st Quartile (25th) 6.85
20th Percentile 6.552
10th Percentile 5.696
5th Percentile 5.06
2nd Percentile 4.7032
1st Percentile 4.4664
Minimum Value 2.69
```

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