The Advanced
tab of the Means
with Error Plots dialog contains various additional (to the Means with Error Plots - Quick tab)
options for the Means with Error Plots.
Use the options on this tab to specify the variables and select the type
of graph you want to create. Some of the options on this tab are used
Graph type. Select the type of Mean with Error Plot to be plotted from the Graph Type list. Click the desired plot link listed below for a brief description of that type of graph.
Together with the Graph type selected above, you can also choose between two types of graph formats. Click the desired graph format listed below to learn more about it.
The choice of the combination of the Graph type and format will depend on the objective you have in mind. For example, if you have selected more than one dependent variable and your aim is to compare their distributions, then you may select Whiskers with Multiple graph format.
Variables. Click the Variables button to display a standard variable selection dialog in which you select the Dependent variable and the Grouping variable for creating the graph. The dependent variable values will be used in calculating the respective statistics that define the components of the graph (e.g., means, medians, standard deviations, etc.), while the grouping variable will be used to categorize the data, using the method of categorization as selected via the options in the Grouping intervals group. Note that more than one dependent variable can be selected and selection of the Grouping variable is optional. If you select multiple dependent variables and the Regular graph format (see above), then a sequence of Means with Error Plots (one for each dependent variable) will be produced in separate graphs. If the graph Format is set to Multiple, then the Means with Error Plots for all the selected dependent variables will be combined into a single graph. The selection of variables that you make will be displayed in the area of the dialog below the Variables button.
Grouping intervals.
Use the options under Grouping intervals
to specify a method
Change Variable. Click the Change Variable button to display a standard variable selection dialog in which you can change the selection of the Dependent variable(s) and/or the Grouping variable. If you change the variable(s) using this button, display of the variable selection under the Variables button (see above) will change accordingly.
Fit. You can fit an equation to the points in the plots by selecting one of the predefined functions in this list.
Graph icon. The graph icon in the displayed represents the currently selected Graph type (Whiskers or High-Low Close) and the Middle Point options (see below). It also previews the selected Value (Conf. Interval, Non-outlier range, Min-max, or Constant) that will define the Mean with Error Plot that you are about to create as specified in the Whisker group box.
Middle point. The options under Middle point are used to specify the statistic that will be used as middle point in the Means with Error Plots.
Value. Select the statistic
Mean or Median
from the Value drop-down list
that will be used to determine the center (middle) points in the plot
(variable and group).
Style. Use the Style drop-down list to specify how the middle point should be represented in the Whiskers or High-Low Close plot. You can choose the selected middle point to appear as a line (select Line) or as a point (select Point).
Pooled variance. The Pooled
variance check box is available when you select Mean
as the Middle point Value. The
setting of this check box determines how the standard deviations and standard
errors (for the means) are computed from grouped data. When the Pooled Variance check box is selected,
STATISTICA computes the pooled
within-group (category) variance for all groups (categories), and uses
this value as an estimate of σ (Sigma)
in computing the standard errors for the means (see, for example, Milliken
and Johnson, 1984). Specifically, STATISTICA
spooled2 = 1/(n-k) * [s12*(n1 -1) + ... + sk2 *(nk -1)]
In this equation, k refers to the k groups in the plot, s12, refers to the variance in the i'th category or group, n1 refers to number of valid observations in the i'th category or group, and n is the overall number of valid observations in the plot.
The standard error of the mean for the i'th group is then computed as:
s.e.(mean) = spooled / square root(ni)
Multiple box layout. The options under Multiple box layout are used to control the display of the Means with Error Plots in your graph. Note that these options are applicable only when you have selected more than one dependent variable, and if you selected Multiple as the Graph type (see above).
Shifted. Select the Shifted option button to display a series of Means with Error Plots for the selected dependent variables in different colors, side by side.
Overlaid. Select the Overlaid option button to display a series of Means with Error Plots for the selected dependent variables in different colors, one on top of the other.
Trim distrib. extremes. Use the Trim distrib. extremes box to specify the percent of cases to be "trimmed" from the extremes (i.e., tails) of the distributions of cases for the selected dependent variables. For example, if you specify 10%, then for a variable with 100 cases, STATISTICA removes the 10 cases with the lowest values and the 10 cases with the highest values for the respective variable from the graph, and uses only the 80 remaining ("middle") cases. If you enter a value for Trim distrib. extremes for mean-based Means with Error Plots, then the so-called "trimmed means" will be used in the graph.
Whisker. The options under Whisker are used to select the options for computing the range of Whiskers or High-Low Close, i.e., to define the error ranges.
Value. Use the Value
drop-down box to choose how the range of Whiskers
or High-Low Close is computed
(Conf. Interval, Non-outlier
range, Min-max, or Constant). If you select Conf.
Interval, then the range will be displayed as the confidence
interval around the mean value. If you select Non-outlier
range, then STATISTICA
determines which points in the data are outliers (see Outliers
and extremes), and then uses the highest and lowest data points that
are closest to the outliers (but are not outliers) to determine the range
in the plot. On the other hand, the option Min-Max
uses the minimum and maximum values of the data to determine the range,
without considering whether or not these values are outliers. If you choose
option Constant, then the specified
constant will be added/subtracted from the chosen center point (mean or
median), to define the range around that center point.
Probability/Coefficient. If you select the Value option (see above) as Conf. Interval, then you also need to specify a value between 0.15 and .99 in the Probability edit field. This value will be used to determine the length of the Whiskers or High-Low Close around the Mean value, based on the standard error for the respective means, and the standard normal (z) value associated with the chosen probability. When you select the Value as Non-outlier range or Min-max (see above), you also need to specify a value in the Coefficient edit field by which the selected Value will be multiplied to determine the range. In case of the Value option as Constant, the value of the Coefficient itself determines the range (no multiplier is used). By default the value of the Coefficient is 1.
Outliers. The
options under Outliers are used
to control the display of outliers and extremes. Select either Off,
Outliers, Extreme,
or
Coefficient. If you select Outliers, Extreme,
or
Statistics. You can choose to include a variety of statistics as a footnote in the graph by selecting one or more of the statistics listed in the Statistics group box.
Kruskal-Wallis test. Select the Kruskal-Wall test check box to include the Kruskal-Wallis test statistic as a footnote on the graph.
F test, p. Select the F test, p check box to include the F test and p statistics (analysis of variance results) as a footnote on the graph.
Connect middle points. Select the Connect middle points check box to connect the selected middle points (Means, Medians, trimmed Means, or trimmed Medians) of the Whiskers or High-Low Close.
Display raw data. Select this check box to display the raw data points.
Jitter. Use the options in this group box to jitter the data points, i.e. modify the original position of the data point from the center of the graph in order to more easily identify/brush overlapping points.
Off. If you select Off, no jitter is applied to the raw data points, outliers, and extremes.
Sequential. If you select Sequential, the jitter is applied sequentially to the raw data points, outliers, and extremes. The jitter is applied such that the first case in the data set is maximally shifted to the left and the last case is shifted maximally to the right.
Random.
If you select Random, the data
point is randomly shifted within the available range.
Width. With this option, you can specify the maximum jitter width defined as percentage of box width. Possible percentages range from 0 to 250.