我正在尝试分析具有中心点和星点的全因子设计2 ^ 4,没有重复。但是,我试图描绘丹尼尔的情节,但我不能。 R代码(https://docs.google.com/document/d/1hrODFpL4tWnWr9CPL9g_myALMQ926SsNS9Ncy5MnhA0/edit?usp=sharing)。
import React, {Component} from 'react';
import {StyleSheet, Text, View, Animated} from 'react-native';
import Button from './Button';
import CardSection from './CardSection';
import MyDatePicker from "./MyDatePicker";
import Card from "./Card";
import ProgressBar from "./ProgressBar";
const handleStartDate = (delta) => {
return (previousState, currentProps) => {
return {...previousState, startDate: delta};
};
};
const handleEndDate = (delta) => {
return (previousState, currentProps) => {
return {...previousState, endDate: delta};
};
};
const handleProgressUpdate = () => {
return (previousState, currentProps) => {
return {...previousState, progress: this.state.dictionary["jatinverma"]};
};
};
class AppComp extends Component {
state = {startDate: null, endDate: null, jiraData: "", progress: 0, dictionary: {}};
onStartDateChange = (date) => {
this.setState(handleStartDate(date));
};
onEndDateChange = (date) => {
this.setState(handleEndDate(date));
};
componentDidMount() {
// debugger;
}
handleJSONData = (data) => {
var keyArr = Object.keys(this.state.dictionary);
for (var i = 0; i <= data.issues.length; i++) {
fetch(data.issues[i].self, {
method: 'get',
headers: {
'Authorization': 'Basic ' + btoa('username:password'),
}
})
.then((response) => response.json())
.then(resData => {
var worklogsArr = resData.fields.worklog.worklogs;
for (var j = 0; j < worklogsArr.length; j++) {
var dtc = +Date.parse(worklogsArr[j].updated.slice(0, 10));
var startDate = +Date.parse(this.state.startDate);
var endDate = +Date.parse(this.state.endDate);
if ((dtc >= startDate) && (dtc <= endDate)) {
if (Object.keys(this.state.dictionary).indexOf(worklogsArr[j].author.name) >= 0) {
var nameDic = worklogsArr[j].author.name;
var abc = this.state.dictionary;
var ov = this.state.dictionary[nameDic];
abc[nameDic] = ov + worklogsArr[j].timeSpentSeconds;
this.setState({dictionary: abc});
console.log(this.state)
} else {
var nameDic = worklogsArr[j].author.name;
var abc = this.state.dictionary;
abc[nameDic] = worklogsArr[j].timeSpentSeconds;
this.setState({dictionary: abc});
console.log(this.state);
}
} else {
}
}
});
}
}
handleButtonClick = () => {
this.setState({dictionary: {}});
if (!global.btoa) {
global.btoa = require('base-64').encode;
}
fetch('https://crossitc.atlassian.net/rest/api/latest/search?jql=updated>=' + this.state.startDate + '%20AND%20updated<=' + this.state.endDate, {
method: 'get',
headers: {
'Authorization': 'Basic ' + btoa('username:password'),
}
})
.then((response) => response.json())
.then(responseData => {
console.log(responseData);
this.handleJSONData(responseData);
this.setState(handleProgressUpdate);
console.log("HIIIIIIIIIIII" + this.state);
debugger;
});
}
render() {
return (
<Card>
<CardSection>
<MyDatePicker onDateChangeRef={this.onStartDateChange} dateDateRef={this.state.startDate}/>
<Text> START={this.state.startDate}</Text>
</CardSection>
<CardSection>
<MyDatePicker onDateChangeRef={this.onEndDateChange} dateDate={this.state.endDate}/>
<Text> END={this.state.endDate}</Text>
</CardSection>
<CardSection>
<Button onPress={this.handleButtonClick}>CLICK!!!</Button>
</CardSection>
<CardSection>
<View style={styles.container}>
<View style={styles.progressContainer}>
<Text>Hours:</Text>
<ProgressBar progress={this.state.progress} row duration={500}/>
<Text>100%</Text>
</View>
</View>
</CardSection>
</Card>
);
}
};
const styles = {
container: {
flex: 1,
},
progressContainer: {
alignItems: "center",
flexDirection: "row"
}
}
export default AppComp;
答案 0 :(得分:0)
这是一个响应面设计。您通常从筛选设计开始按顺序构建这些设备,例如: 2⁴完整或分数设计,复制中心点作为第一次迭代。 Daniels图在确定调查因子的20个主要显着效应(活动子空间)时非常好,应该在这个阶段使用。 如果发现所有四个因子都有效,则可以添加星点,因为筛选设计已指示接近超空间“最大”或“最小”值。如果所有因素都是活跃的,您通常使用最小二乘分析来分析结果。您不会基于统计显着性删除响应面分析中的因子,因为这意味着猜测的零值将是比实际估计更好的最佳估计。 简而言之就是:
分析响应曲面时不使用DANIELS图。
参考:“实验者统计”Box Hunter和Hunter Wileys 2005年第11和第12章。
请注意,您应该能够在Daniels图中绘制模型残差。
答案 1 :(得分:0)
Daniel的图仅适用于通过回归创建的拟合模型。例如:
model<-lm(y.response~Temperatura*Time*Acid*Biomass,data=CCD)
它将创建模型。我建议:
BsM2::DanielPlot(model)
创建图。