Displays a concise one-line summary statistics report, below a heading line, consisting of sample size, number of NAs in the input vector; minimum, maximum and quartiles; robust estimates of the standard deviation (MAD and interquartile based measure); mean, standard deviation and coefficient of variation (%); and the standard error, and lower and upper 95% confidence limits on the mean. See Details for the results of setting
log = TRUE. Optionally the data may be logarithmically (base 10) transformed.
name of the variable to be processed.
by default the character string for
if the summary statistics are required following a log10 transformation, set
log = TRUE results in a log transformation for the parametric statistical estimates. The maximum, minimum, quartiles and robust estimates of spread are estimated and reported in natural measurement units. Of the parametric statistics, the mean (the geometric mean) and 95%confidence are reported backtransformed into natural measurement units. If all the results are required following a log10, or some other transformation, this can be achieved by executing the transformation in the call, e.g.,
gx.summary1(sqrt(Cu)), and setting
log = FALSE.
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
NAs in the data vector will be removed prior to computation in function
For a more extensive summary statistics display, see
gx.summary2. For summary graphical displays see
Robert G. Garrett
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## Make test data available data(kola.o) attach(kola.o) ## Generates an initial display gx.summary1(Cu) ## Provide a more informative display gx.summary1(Cu, xname = "Cu (mg/kg) in <2 mm Kola O-horizon soil") ## As above but with a log10 transformation to display ## the geometric mean, etc. gx.summary1(Cu, xname = "Cu (mg/kg) in <2 mm Kola O-horizon soil", log = TRUE) ## Detach test data detach(kola.o)