Question

我试图在我的数据集中绘制两个参数之间的线性回归。但是我无法这样做，我收到了错误

plot.default中的错误（yh，r，xlab = l.fit，ylab =＆＃34; Residuals＆＃34;，main = main，：formal argument＆＃34; xlab＆＃34;匹配多个实际参数

这是我的代码

file <- "bank.csv"
data <- read.csv(file, header=TRUE, sep=";")
data <- data[(data$Previous_Outcome == "success") | (data$Previous_Outcome == "nonexistent"),]
data <- data[(data$Duration != "0"),]
age = data$Age
duration <- data$Duration
fit <- lm(age ~ duration)
png(filename = "AgevsDurationRegression.png", width=480, height=480, units="px")
> plot(fit, main="Age vs Call Duration Regression", xlab = "Duration in Seconds", ylab = "Age in Years")
Error in plot.default(yh, r, xlab = l.fit, ylab = "Residuals", main = main,  : 
  formal argument "xlab" matched by multiple actual arguments

str（数据）和摘要（fit）给了我这个

summary(fit)

Call:
lm(formula = age ~ duration)

Residuals:
    Min      1Q  Median      3Q     Max 
-23.063  -8.045  -2.027   6.956  58.007 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept) 40.0792439  0.0752589 532.551   <2e-16 ***
duration    -0.0001804  0.0002040  -0.884    0.377    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 10.28 on 36930 degrees of freedom
Multiple R-squared:  2.117e-05, Adjusted R-squared:  -5.903e-06 
F-statistic: 0.782 on 1 and 36930 DF,  p-value: 0.3765

Answer 1

这有效

var GPSMapConverter = function () {
    var mapOptions = {
        zoom: 3,
        center: new google.maps.LatLng(57.9865525, 25.40965)
    };
    this.map = new google.maps.Map(document.getElementById('map'), mapOptions);
    this.directionsDisplay = new google.maps.DirectionsRenderer;
    this.directionsService = new google.maps.DirectionsService;
};

GPSMapConverter.prototype = {

    clearRoute: function() {
        if (this.directionsDisplay != null) {
            this.directionsDisplay.setMap(null);
        }
    },

    printRoute: function(coordinates) {
        var directionWaypoints = $.map(coordinates, function(coord, i) {
            if (i > 0 && i < coordinates.length - 1) {
                return {
                    "location": new google.maps.LatLng(coord.lat, coord.lng),
                    "stopover": false
                };
            }
        });


        var request = {
            origin: new google.maps.LatLng(coordinates[0].lat, coordinates[0].lng),
            destination: new google.maps.LatLng(coordinates[coordinates.length - 1].lat, coordinates[coordinates.length - 1].lng),
            travelMode: google.maps.TravelMode.DRIVING,
            waypoints: directionWaypoints
        };
        this.calculateAndDisplayRoute(request);
    },

    calculateAndDisplayRoute: function (request) {
        this.directionsDisplay.setMap(this.map);

        (function(display,service) {
            service.route(request, function(response, status) {
                if (status === google.maps.DirectionsStatus.OK) {
                    display.setDirections(response);
                } else {
                    alert('Directions request failed due to ' + status);
                }
            });
        })(this.directionsDisplay, this.directionsService);
    }
};

Answer 2

情节（y~x）和情节（lm（y~x））之间的差异：

plot（y~x）给出变量y Vs x的散点图。和abline（lm（y~x））在图中添加回归线。

plot（lm（y~x））提供回归模型的回归诊断图。它为给定的回归模型生成六个诊断图。

对拟合值的残差
Sqrt（残差）与拟合值
正常Q-Q图
Cook的距离与行标签
针对杠杆的剩余
库克与杠杆/（1-leverage）的距离。

默认情况下，会提供前三个和第五个。

按Enter键逐一查看这些图。或者要在一个窗口中查看所有四个图，请使用以下命令。它将绘图区域划分为2 * 2网格。

  par(mfrow=c(2,2))

以png格式保存任何地块：

  png(file="myplot", width=400, height=350)
  dev.off()

同样，你可以使用

  bmp(file="myplot", width=400, height=350); 
  jpeg(file="myplot", width=400, height=350) or
  tiff(file="myplot", width=400, height=350)

用于保存其他格式的任何绘图。

没有得到线性回归图

2 个答案: