crosster.blogg.se - Ggplot2 scatter plot with regression

GGPLOT2 SCATTER PLOT WITH REGRESSION FULL

Separate the correlation coefficient and the p.value. Uppercase andĪ character string to separate the terms. "rho" (spearman coef) and "tau" (kendall coef). Must be one of "two.sided" (default), "greater" or "less". One of "pearson" (default), "kendall", orĪ character string specifying the alternative hypothesis, methodĪ character string indicating which correlation coefficient (orĬovariance) is to be computed. A function can be createdįrom a formula (e.g. Seeįortify() for which variables will be created.Ī function will be called with a single argument, All objects will be fortified to produce a data frame. If NULL, the default, the data is inherited from the plotĭata as specified in the call to ggplot().Ī ame, or other object, will override the plotĭata. You must supply mapping if there is no plot Inherit.aes = TRUE (the default), it is combined with the default mappingĪt the top level of the plot. Default value is NULLĪ logical value.Set of aesthetic mappings created by aes(). Whether or not use value labels in case of labelled dataĪ character string of column name be included in tooltip.

Whether or not use column label in case of labelled data Integer indicating the number of decimal places Maximum unique number of a numeric vector treated as a factor If true use geom_count instead of geom_point_interactiveĪn integer. Level of confidence interval to use (0.95 by default)

GGPLOT2 SCATTER PLOT WITH REGRESSION FULL

Should the fit span the full range of the plot, or just the data "lm", "glm", "gam", "loess", "rlm"įormula to use in smoothing function, eg. display confidence interval around linear regression? (TRUE by default) Set of aesthetic mappings created by aes or aes_. GgPoints ( data, mapping, smooth = TRUE, se = TRUE, method = "auto", formula = y ~ x, fullrange = FALSE, level = 0.95, use.count = FALSE, maxfactorno = 6, digits = 2, title = NULL, subtitle = NULL, caption = NULL, use.label = TRUE, use.labels = TRUE, tooltip = NULL, interactive = FALSE.

unselectNumeric: Unselect numeric column of a ame.

theme_clean: Clean theme for PieDonut plot.

summarySE: Summarize a continuous variable by groups with mean, sd and.

subcolors: Make a subcolors according to the mainCol.

rose: Rose sales among 7 groups in a year.

rescale_df: Rescale all numeric variables of a ame except grouping.

pastecolon: Paste character vectors separated by colon.

palette2colors: Extract colors from a palette.

num2factorDf: Make numeric column of a ame to factor.

num2cut: Computing breaks for make a histogram of a continuous.

myscale2: Rescale a vector with which minimum value 0 and maximum value.

myscale: Rescale a vector with which minimum value 0 and maximum value.

model2df: Make a ame of yhat with a model.

makeEq: Make a regression equation of a model.

ggPredict: Visualize predictions from the multiple regression models.

ggPoints: Make an interactive scatterplot with regression line(s).

ggPair: Make an interactive scatter and line plot.ggHSD: Draw Tukey Honest Significant Differences plot.ggErrorBar: Make an interactive bar plot with error bar.ggEffect: Visualize the effect of interaction between two continuous.ggDensity: Make a density plot with histogram.ggCor: Draw a heatmap of correlation test.ggChoropleth: Draw an interactive choropleth map.ggCatepillar: Make an interactive catepillar plot.ggAncova: Make an interactive plot for an ANCOVA model.getMapping: extract variable name from mapping, aes.coord_radar: The radar coordinate system is a modification of polar.addLabelDf: Add value labels to the ame.