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 |
---|
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'
).
Options: WINDOW
, TITLE
, YTITLE
.
Parameter: LSI
.
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