Plots least significant intervals, saved from SEDLSI (M.C. Hannah).
Options
WINDOW = scalar |
Window in which to plot the graph |
|---|---|
TITLE = text |
Title for the graph; default 'Estimates with LSIs by Treatment' |
YTITLE = text |
Title for the y-axis; default 'Estimates' |
Parameter
LSI = pointers |
Defines the least significant intervals |
|---|---|
SYMBOL = texts or scalars |
Symbol to use to plot each set of estimates |
CSYMBOL = texts or scalars |
Colour for each symbol |
SMSYMBOL = scalars |
Multiplier to use in the calculation of the size of each symbol |
SMLABEL = scalars |
Multiplier to use in the calculation of the size of the labels in each plot |
Description
Least significant intervals (LSIs) are used for comparing a set of estimates (e.g. predicted means from ANOVA or regression) graphically, especially when their SEDs differ. LSIs are intervals (or error bars) that are designed to overlap where there is no significant difference between estimates, and to be disjoint (i.e. not to overlap) where there are significant differences.
LSIs can be calculated by the SEDLSI procedure and saved, in a pointer, using its LSI parameter. This pointer can then be be supplied as input to LSIPLOT, using its own LSI parameter, to plot the intervals on a later occasion.
LSIPLOT has an option WINDOW to specify the window in which to plot the LSIs. By default a window is defined internally, within LSIPLOT, to fill the whole screen. The TITLE option allows you to supply a title for the plot (default 'Estimates with LSIs by Treatment'), and the YTITLE option supplies a title for the y-axis (default 'Estimates').
The SYMBOL parameter specifies the symbol to use to plot the estimates; by default, this is a circle. The CSYMBOL parameter specifies the colour (default black). The SMSYMBOL and SMLABEL parameters specify the multipliers to use when calculating the sizes of the symbols and the labels, instead of the default values calculated by the procedure.
Options: WINDOW, TITLE, YTITLE.
Parameters: LSI, SYMBOL, CSYMBOL , SMSYMBOL, SMLABEL
See also
Commands for: Graphics.
Example
CAPTION 'LSIPLOT example',\
!t('Experiment on foster feeding of rats from Scheffe (1959)',\
'The Analysis of Variance; also see McConway, Jones & Taylor (1999)',\
'Statistical Modelling using GENSTAT, Example 7.6.'); STYLE=meta,plain
FACTOR [NVALUES=61; LABELS=!t('A','B','I','J')] litter
READ litter; FREPRESENTATION=labels
A A A A A A A A A A A A A A A A A B B B B B B B B B B B B B B B I I I I I I
I I I I I I I I J J J J J J J J J J J J J J J :
FACTOR [NVALUES=61; LABELS=!t('A','B','I','J')] mother
READ mother; FREPRESENTATION=labels
A A A A A B B B I I I I J J J J J A A A A B B B B B I I I I J J A A A B B B
I I I I I J J J A A A A B B B I I I J J J J J :
VARIATE [NVALUES=61] littwt
READ littwt
61.5 68.2 64 65 59.7 55 42 60.2 52.5 61.8 49.5 52.7 42 54 61 48.2 39.6 60.3
51.7 49.3 48 50.8 64.7 61.7 64 62 56.5 59 47.2 53 51.3 40.5 37 36.3 68 56.3
69.8 67 39.7 46 61.3 55.3 55.7 50 43.8 54.5 59 57.4 54 47 59.5 52.8 56 45.2
57 61.4 44.8 51.5 53 42 54 :
MODEL littwt
FIT [PRINT=accumulated; FPROBABILITY=yes] litter*mother
RKEEP DF=rdf
PREDICT [PREDICTIONS=mean; VCOVARIANCE=var] mother
SEDLSI [PLOT=*; DF=rdf] mean; VCOVARIANCE=var; LSI=lsi
LSIPLOT [TITLE='Means and least significant intervals'; YTITLE='Weight'] lsi