![]() ![]() You can control the editing manually with the mouse or more precisely with the info / edit panel. In this area may be activated a visible grid to snap images on (see grid) either you can use movable magnetic guides (see guides). The area represents the sheet your printer will paint on. Drop here images from your disk or from another application, move, resize clip etc. This area, surrounded by the vertical and horizontal rulers, is where you make the layout of the objects to print. ![]() With the same keys combination, but dragging the mouse, you obtain a box-zoom, that means the boxed area will fit the visible area (zoom in).įurthermore you can live zoom using the mouse scroll ball (or scroll wheel) while holding the alt (option) key. Lets you resize your view of the sheet from a minimum of 0.01x (click to the left) to a maximum of 100x (click to the right), passing through intermediate values.Ī shortcut is available on the keyboard (click with the mouse while holding down space+command keys to obtain a one step zoom+, click with the mouse while holding down space+command+option keys to obtain a one step zoom-). The zoom control (a slider with three buttons, the left one for the min, the right for the max and the center arrow for the 1:1 zoom).(See pagination for further explanations). This button is enabled only if you set the FitPlot document to more than just the single default page. Toggle pagination drawer: at the extreme right there is a little button, grayed by default, that is used to open the pagination drawer.You can choose from centimeters, inches and points. More centered you can see the unit of measure control menu and is a quick way to have at hand all sizes proposed by the installed printer drivers.Ĭustom size fields and SET push button allow the setting of any custom page size. button has the same function of the File -> Page Setup. (it is quicker compared to the usual page setup menu as usual there in the File menu) The toolbar: just below the window title, the toolbar hosts useful FitPlot command, at a mouse click.įully customizable to your needs.See abline, regLine in car, error.bars in psych, ot, and lineplot.CI in sciplot for similar functionality.It contains informations about the name of the document and the current page size (bracketed the printable area size, according to the margin settings, see installation -> test your printer). A legend also will not be drawn if there are not multiple groups in the model. A legend will not be drawn if legend = FALSE or legend = NULL. ![]() Finally, the legend= argument can be set to a vector of length two which identifies the plot coordinates for the upper-left corner of where the legend should be placed. ![]() In this case, the legend will be placed inside the plot frame at the given location. Second, the legend= argument can be set to one of "bottomright", "bottom", "bottomleft", "left", "topleft", "top", "topright", "right" and "center". First, if legend = TRUE then the R console is suspended until the user places the legend on the graphic by clicking on the graphic at the point where the upper-left corner of the legend should appear. For indicator variable regression the function behaves as if several abline functions had been called.Ī legend can be added to the plot in three different ways. For simple linear regression the function performs similarly to abline except that the line is constrained to the domain. For one-way or two-way ANOVAs the primary functions called are ot and lineplot.CI. This function is basically a wrapper to a variety of other functions. This function only works for non-linear models with two or fewer groups. In addition, if the linear model contains a factor then the model must be fit with the quantitative explanatory variable first, followed by the factor(s). This function does not work with a multiple linear regression, indicator variable regressions with more than two factors, ANOVAs other than one-way and two-way, or models with a categorical response variable. If this is changed from the default then the domain over which the logistic regression model is plotted will change. Pch = c(16, 21, 15, 22, 17, 24, c(3:14)),Ī vector of length two to control the x-axis in the logistic regression plot. Interval = c("none", "confidence", "prediction", "both"), Supported objects are linear models from simple linear regression (SLR), indicator variable regression (IVR), one-way ANOVA, or two-way ANOVA models general linear models that are logistic regressions with a binary response and non-linear regression with a single numerical response variable, at least one continuous explanatory variable and up to two group-factor explanatory variables. DescriptionĪ generic function for constructing a fitted model plot for an lm, glm, or nls object. FitPlot: DEPRECATED - Fitted model plot for an lm, glm, or nls object. ![]()
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