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changes to scatterPlot function since request isn't json anymore for …
…some parameter
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|---|---|---|
| @@ -1,98 +1,98 @@ | ||
| #' @title Scatter Plot | ||
| #' @description | ||
| #' Produces a scatterplot depending of given dataset and optionally predictors. | ||
| #' @param d | ||
| #' A \code{string} representing the dataset name. | ||
| #' @param pred1 | ||
| #' A \code{list} for first predictor containing entries for type and value. | ||
| #' @param pred2 | ||
| #' A \code{list} for first predictor containing entries for type and value. | ||
| #' @return | ||
| #' returns a scatterplot for the given dataset and predictor variables. | ||
| #' @author Robert Studtrucker | ||
| #' @export | ||
| scatterPlot <- function(yi,d,pred1=NULL,pred2=NULL, effectName="Effect") { | ||
| requireNamespace("metafor") | ||
| requireNamespace("ggplot2") | ||
| requireNamespace("GGally") | ||
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| #load the in variable d defined dataset from the package | ||
| dat <- checkData(d) | ||
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| pred1<-unlist(pred1) | ||
| pred2<-unlist(pred2) | ||
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| if( !is.null(pred1) && !is.null(pred2)){ | ||
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| checkParameter(dat,c(yi,pred1["value"],pred2["value"])) | ||
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| #Es gibt zwei Prädiktoren | ||
| if(pred1["type"]=="num" && pred2["type"]=="num"){ | ||
| # Scatter, 2 predictors, num/num | ||
| GGally::ggscatmat(dat, columns=c(yi,pred1["value"],pred2["value"])) + | ||
| ggplot2::geom_point(colour="#34B4D8", shape=19) + | ||
| ggplot2::labs(title="scatterplot matrix") | ||
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| }else if(pred1["type"]=="cat" && pred2["type"]=="cat"){ | ||
| # Violin, 2 predictors, cat/cat | ||
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| ggplot2::ggplot(dat, ggplot2::aes(x=dat[,pred1["value"]], y=dat[,yi], color=dat[,pred2["value"]])) + | ||
| ggplot2::geom_violin(draw_quantiles = c(0.2,0.4,0.6,0.8)) + | ||
| ggplot2::geom_point(ggplot2::aes(x=dat[,pred1["value"]],color=dat[,pred2["value"]]),shape=19,size=2) + | ||
| ggplot2::labs(title="Violin Plot",x=pred1["label"], y=effectName, color=pred2["label"]) + | ||
| ggplot2::theme(legend.position = "right",plot.title = ggplot2::element_text(hjust = 0.5)) | ||
| }else { | ||
| numerical<-"" | ||
| categorical<-"" | ||
| if(pred1["type"]=="cat"){ | ||
| categorical<-pred1 | ||
| numerical<-pred2 | ||
| }else{ | ||
| categorical<-pred2 | ||
| numerical<-pred1 | ||
| } | ||
| # Scatter, 2 predictors, num/cat | ||
| ggplot2::ggplot(dat = dat, ggplot2::aes(x = dat[,numerical["value"]], y = dat[,yi])) + | ||
| ggplot2::geom_point(ggplot2::aes(color = dat[,categorical["value"]]),shape=19, size=3) + | ||
| ggplot2::theme(legend.position = "right",plot.title = ggplot2::element_text(hjust = 0.5)) + | ||
| ggplot2::labs(title="Scatter Plot",x=numerical["label"], y=effectName, color=categorical["label"]) | ||
| } | ||
| } | ||
| else if(!is.null(pred1) && is.null(pred2)){ | ||
| #Es gibt einen Prädiktor | ||
|
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||
| if(pred1["type"]=="cat"){ | ||
| # Violin, 1 predictor, cat | ||
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| ggplot2::ggplot(dat, ggplot2::aes(x=dat[,pred1["value"]], y=dat[,yi])) + | ||
| ggplot2::geom_violin(draw_quantiles = c(0.2,0.4,0.6,0.8), color='#0480a3') + | ||
| ggplot2::geom_point(size=2,color="#34b4d8") + | ||
| ggplot2::labs(title="Violin Plot",x=pred1["label"], y=effectName) + | ||
| ggplot2::theme(plot.title = ggplot2::element_text(hjust = 0.5)) | ||
|
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||
| }else{ | ||
| # Scatter, 1 predictor, num | ||
|
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| ggplot2::ggplot(dat = dat, ggplot2::aes(x = dat[,pred1["value"]], y = dat[,yi])) + | ||
| ggplot2::geom_point(colour="#34B4D8", shape=19, size=3) + | ||
| ggplot2::labs(title="Scatter Plot",x=pred1["label"], y=effectName) + | ||
| ggplot2::theme(plot.title = ggplot2::element_text(hjust = 0.5)) | ||
| } | ||
|
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||
| }else if(is.null(pred1)&&is.null(pred2)) { | ||
| # Scatter, no predictor | ||
|
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| dat.cleared<- subset(x = dat, subset = !is.na(dat[,yi])) | ||
| print(dat.cleared) | ||
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| ggplot2::ggplot(dat = dat, ggplot2::aes(x=seq_along(dat[,yi]), y=dat[,yi])) + | ||
| ggplot2::geom_violin(draw_quantiles = c(0.2,0.4,0.6,0.8), color="#0480A3") + | ||
| ggplot2::geom_point(size=2, color="#34B4D8") + | ||
| ggplot2::labs(title="Violin Plot",x="", y=effectName) + | ||
| ggplot2::theme(plot.title = ggplot2::element_text(hjust = 0.5)) | ||
| } | ||
| } | ||
|
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| #' @title Scatter Plot | ||
| #' @description | ||
| #' Produces a scatterplot depending of given dataset and optionally predictors. | ||
| #' @param d | ||
| #' A \code{string} representing the dataset name. | ||
| #' @param pred1 | ||
| #' A \code{list} for first predictor containing entries for type and value. | ||
| #' @param pred2 | ||
| #' A \code{list} for first predictor containing entries for type and value. | ||
| #' @return | ||
| #' returns a scatterplot for the given dataset and predictor variables. | ||
| #' @author Robert Studtrucker | ||
| #' @export | ||
| scatterPlot <- function(yi,d,pred1=NULL,pred2=NULL, effectName="Effect") { | ||
| requireNamespace("metafor") | ||
| requireNamespace("ggplot2") | ||
| requireNamespace("GGally") | ||
|
|
||
| #load the in variable d defined dataset from the package | ||
| dat <- d | ||
|
|
||
| pred1<-unlist(pred1) | ||
| pred2<-unlist(pred2) | ||
|
|
||
| if( !is.null(pred1) && !is.null(pred2)){ | ||
|
|
||
| checkParameter(dat,c(yi,pred1["value"],pred2["value"])) | ||
|
|
||
| #Es gibt zwei Prädiktoren | ||
| if(pred1["type"]=="num" && pred2["type"]=="num"){ | ||
| # Scatter, 2 predictors, num/num | ||
| GGally::ggscatmat(dat, columns=c(yi,pred1["value"],pred2["value"])) + | ||
| ggplot2::geom_point(colour="#34B4D8", shape=19) + | ||
| ggplot2::labs(title="scatterplot matrix") | ||
|
|
||
| }else if(pred1["type"]=="cat" && pred2["type"]=="cat"){ | ||
| # Violin, 2 predictors, cat/cat | ||
|
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| ggplot2::ggplot(dat, ggplot2::aes(x=dat[,pred1["value"]], y=dat[,yi], color=dat[,pred2["value"]])) + | ||
| ggplot2::geom_violin(draw_quantiles = c(0.2,0.4,0.6,0.8)) + | ||
| ggplot2::geom_point(ggplot2::aes(x=dat[,pred1["value"]],color=dat[,pred2["value"]]),shape=19,size=2) + | ||
| ggplot2::labs(title="Violin Plot",x=pred1["label"], y=effectName, color=pred2["label"]) + | ||
| ggplot2::theme(legend.position = "right",plot.title = ggplot2::element_text(hjust = 0.5)) | ||
| }else { | ||
| numerical<-"" | ||
| categorical<-"" | ||
| if(pred1["type"]=="cat"){ | ||
| categorical<-pred1 | ||
| numerical<-pred2 | ||
| }else{ | ||
| categorical<-pred2 | ||
| numerical<-pred1 | ||
| } | ||
| # Scatter, 2 predictors, num/cat | ||
| ggplot2::ggplot(dat = dat, ggplot2::aes(x = dat[,numerical["value"]], y = dat[,yi])) + | ||
| ggplot2::geom_point(ggplot2::aes(color = dat[,categorical["value"]]),shape=19, size=3) + | ||
| ggplot2::theme(legend.position = "right",plot.title = ggplot2::element_text(hjust = 0.5)) + | ||
| ggplot2::labs(title="Scatter Plot",x=numerical["label"], y=effectName, color=categorical["label"]) | ||
| } | ||
| } | ||
| else if(!is.null(pred1) && is.null(pred2)){ | ||
| #Es gibt einen Prädiktor | ||
|
|
||
| if(pred1["type"]=="cat"){ | ||
| # Violin, 1 predictor, cat | ||
|
|
||
| ggplot2::ggplot(dat, ggplot2::aes(x=dat[,pred1["value"]], y=dat[,yi])) + | ||
| ggplot2::geom_violin(draw_quantiles = c(0.2,0.4,0.6,0.8), color='#0480a3') + | ||
| ggplot2::geom_point(size=2,color="#34b4d8") + | ||
| ggplot2::labs(title="Violin Plot",x=pred1["label"], y=effectName) + | ||
| ggplot2::theme(plot.title = ggplot2::element_text(hjust = 0.5)) | ||
|
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||
| }else{ | ||
| # Scatter, 1 predictor, num | ||
|
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| ggplot2::ggplot(dat = dat, ggplot2::aes(x = dat[,pred1["value"]], y = dat[,yi])) + | ||
| ggplot2::geom_point(colour="#34B4D8", shape=19, size=3) + | ||
| ggplot2::labs(title="Scatter Plot",x=pred1["label"], y=effectName) + | ||
| ggplot2::theme(plot.title = ggplot2::element_text(hjust = 0.5)) | ||
| } | ||
|
|
||
| }else if(is.null(pred1)&&is.null(pred2)) { | ||
| # Scatter, no predictor | ||
|
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| dat.cleared<- subset(x = dat, subset = !is.na(dat[,yi])) | ||
| print(dat.cleared) | ||
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|
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| ggplot2::ggplot(dat = dat, ggplot2::aes(x=seq_along(dat[,yi]), y=dat[,yi])) + | ||
| ggplot2::geom_violin(draw_quantiles = c(0.2,0.4,0.6,0.8), color="#0480A3") + | ||
| ggplot2::geom_point(size=2, color="#34B4D8") + | ||
| ggplot2::labs(title="Violin Plot",x="", y=effectName) + | ||
| ggplot2::theme(plot.title = ggplot2::element_text(hjust = 0.5)) | ||
| } | ||
| } | ||
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