Is there something about using plot(.) after dev.off that does not allow the window to pop up? In other words I would like to be able to see the plot display when just using the plot function. I am using R in UNIX if this is at all relevant. Here is a plot of observed versus fitted or predicted, sometimes called a calibration plot. The regression isn't outrageous, but it can't do an outstanding job with these data. I get a maximum predicted value of 6.031, which is disturbing in principle.
Arrange multiple plots into a grid
Arrange multiple plots into a grid.
Usage
Arguments
List of plots to be arranged into the grid. The plots can be any objects thatthe function
as_gtable()
can handle (see also examples).(optional) List of plots to display. Alternatively, the plots can be providedindividually as the first n arguments of the function plot_grid (see examples).
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![Working Working](/uploads/1/3/7/8/137893993/499746874.png)
Plot Not Working Python
(optional) Specifies whether graphs in the grid should be horizontally ('h') orvertically ('v') aligned. Options are 'none' (default), 'hv' (align in both directions), 'h', and 'v'.
(optional) Specifies whether graphs should be aligned by the left ('l'), right ('r'), top ('t'), or bottom ('b')margins. Options are 'none' (default), or a string of any combination of l, r, t, and b in any order (e.g. 'tblr' or 'rlbt' for aligning all margins).Must be specified if any of the graphs are complex (e.g. faceted) and alignment is specified and desired. See
align_plots()
for details.(optional) Number of rows in the plot grid.
(optional) Number of columns in the plot grid.
(optional) Numerical vector of relative columns widths. For example, in a two-columngrid,
rel_widths = c(2, 1)
would make the first column twice as wide as thesecond column.(optional) Numerical vector of relative rows heights. Works just as
rel_widths
does, but for rows rather than columns.(optional) List of labels to be added to the plots. You can also set
labels='AUTO'
toauto-generate upper-case labels or labels='auto'
to auto-generate lower-case labels.(optional) Numerical value indicating the label size. Default is 14.
(optional) Font family of the plot labels. If not provided, is taken from the current theme.
(optional) Font face of the plot labels. Default is 'bold'.
(optional) Color of the plot labels. If not provided, is taken from the current theme.
(optional) Single value or vector of x positions for plot labels, relative to each subplot.Defaults to 0 for all labels. (Each label is placed all the way to the left of each plot.)
(optional) Single value or vector of y positions for plot labels, relative to each subplot.Defaults to 1 for all labels. (Each label is placed all the way to the top of each plot.)
Adjusts the horizontal position of each label. More negative values move the label furtherto the right on the plot canvas. Can be a single value (applied to all labels) or a vector of values(one for each label). Default is -0.5.
Adjusts the vertical position of each label. More positive values move the label furtherdown on the plot canvas. Can be a single value (applied to all labels) or a vector of values(one for each label). Default is 1.5.
Individual number or vector of numbers greater than 0. Enables you to scale the size of all orselect plots. Usually it's preferable to set margins instead of using
scale
, but scale
cansometimes be more powerful.(optional) How should margins be adjusted during alignment. See
align_plots()
for details.Logical value indicating if the plots should be arrange by row (default) or by column.
Deprecated. Use
ncol
.Deprecated. Use
nrow
.Aliases
- plot_grid
Examples
Community examples
API documentation
PLOTS= Option |
Each statistical procedure that produces ODS Graphics has a PLOTS= option that is used to select graphs and specify some options. The syntax of the PLOTS= option is as follows:
PLOTS <(global-plot-options)> <= plot-request <(options)>>
PLOTS <(global-plot-options)> <= (plot-request <(options)> <.. plot-request <(options)>>)>
PLOTS <(global-plot-options)> <= (plot-request <(options)> <.. plot-request <(options)>>)>
Occasional girl. The PLOTS= option has a common overall syntax for all statistical procedures, but the specific global plot options, plot requests, and plot options vary across procedures. This section discusses only a few of the options available in the PLOTS= option. Plots in bhubaneswar. For more information about the PLOTS= option, see the 'Syntax' section for each procedure that produces ODS Graphics. There are only a limited number of things that you can control with the PLOTS= option. Most graphical details are controlled either by graph templates (see the section Graph Templates) or by styles (see the section Styles).
The PLOTS= option usually appears in the PROC statement. However, for some procedures, certain analyses and hence certain plots can appear only if an additional statement is specified. These procedures often have a PLOTS= option in that other statement. For example, the PHREG procedure has a PLOTS= option in the BAYES statement, which is used to perform a Bayesian analysis. See the 'Syntax' section of each procedure chapter for more information. The following examples illustrate the syntax of the PLOTS= option:
Also see the 'Getting Started' sections Survival Estimate Plot with PROC LIFETEST, Contour and Surface Plots with PROC KDE, Contour Plots with PROC KRIGE2D, LS-Means Diffogram with PROC GLIMMIX, and Principal Component Analysis Plots with PROC PRINCOMP for examples of the PLOTS= option.
The simplest PLOTS= specifications are of the form PLOTS=plot-request or PLOTS=(plot-requests). When there is more than one plot request, the plot-request list must appear in parentheses. Each plot request either requests a plot (for example, RESIDUALS) or provides you with a place to specify plot-specific options (for example, DIAGNOSTICS(UNPACK)). Some simple and typical plot requests are explained next:
- PLOTS=ALL requests all plots that are relevant to the analysis. This does not mean that all plots that the procedure can produce are produced. Plots that are produced for one set of options might not appear with PLOTS=ALL and a different set of options. In some cases, certain plots are not produced unless certain options or statements outside the PLOTS= option are specified.
- PLOTS=NONE disables ODS Graphics for just that step. You can use this option instead of specifying ODS GRAPHICS OFF before a procedure step and ODS GRAPHICS ON after the step when you want to suppress graphics for only that step.
- PLOTS=RESIDUALS requests a plot of residuals in a modeling procedure such as PROC REG.
- PLOTS=RESIDUALS(SMOOTH) requests the residuals plot along with a smooth fit function.
- PLOTS=(TRACE AUTOCORR) requests trace and autocorrelation plots in procedures with Bayesian analysis options.
Global plot options appear in parentheses after the option name and before the equal sign. These options affect many or all of the plots. The UNPACK option is a commonly used global plot option. It specifies that plots that are normally produced with multiple plots per panel (or 'packed') should be unpacked and appear in multiple panels with one plot in each panel. The specification PLOTS(UNPACK)=(plot-requests) unpacks all paneled plots. The UNPACK option is also used as an option in a plot request when you only want to unpack certain panels. For example, the option PLOTS=(DIAGNOSTICS(UNPACK) PARTIAL PREDICTIONS) unpacks just the diagnostics panel. In some cases, unpacked plots contain additional information that is not found in the smaller packed versions. The UNPACK option is not available for all plot requests; it is just available with plots that have multiple panels by default.
Another commonly used global plot option is the ONLY option. Many procedures produce default plots, and additional plots can be requested in the PLOTS= option. Specifying PLOTS=(plot-requests) while omitting the default plots does not prevent the default plots from being produced. The ONLY option is used when you only want to see the plots specifically listed in the plot-request list. Procedures that produce no default plots typically do not provide an ONLY option. You can use ODS SELECT and ODS EXCLUDE (see the section Selecting and Excluding Graphs) to select and exclude graphs, but in some situations the ONLY option is more convenient. It is typically more efficient to select plots by using the PLOTS(ONLY)= option, because the procedure does not do extra work to generate a plot that is excluded by the PLOTS(ONLY)= option. In contrast, ODS SELECT and ODS EXCLUDE have their effect after the procedure has done the work to generate the plot.