conf.int=T,# 是否显示置信区间 errbar.col="blue",#直线曲线bar颜色 col="red", # 曲线颜色 xlim=c(0.25,0.6),ylim=c(0.15,0.70), xlab="Nomogram-Predicted Probability of 1-Year DFS", ylab="Actual 1-Year DFS (proportion)", subtitles = F)#不显示副标题 往期内容 跟着Nature学作图 | 配对哑...
# 直线和曲线的误差线颜色设置为蓝色 col="red3", # 校准曲线的颜色设置为红色 xlim=c(0,1), # x轴的限制范围,从0到1 ylim=c(0,1), # y轴的限制范围,从0到1 xlab="Nomogram-Predicted Probability of 1-Year DFS", # x轴标签 ylab="Actual 1-Year DFS (proportion)", # y轴标签 subtitles ...
errbar.col=c(rgb(0,118,192,maxColorValue=255)), xlim=c(0.25,0.6),ylim=c(0.15,0.70), xlab="Nomogram-Predicted Probability of 1-Year DFS", ylab="Actual 1-Year DFS (proportion)", col=c(rgb(192,98,83,maxColorValue=255))) ## rms::nomogram的完整示例详见rms程序包的帮助文件 ## rms...
conf.int=T,# 是否显示置信区间 errbar.col="blue",#直线曲线bar颜色 col="red", # 曲线颜色 xlim=c(0.25,0.6),ylim=c(0.15,0.70), xlab="Nomogram-Predicted Probability of 1-Year DFS", ylab="Actual 1-Year DFS (proportion)", subtitles = F)#不显示副标题 木舟笔记2022年度VIP企划 关于木舟笔记...
xlab="Nomogram-Predicted Probability of 1-Year DFS", ylab="Actual 1-Year DFS (proportion)", col=c(rgb(192,98,83,maxColorValue=255))) ## rms::nomogram的完整示例详见rms程序包的帮助文件 ## rms程序包的帮助文件下载网址:https://cran.r-project.org/web/packages/rms/rms.pdf ...
plot(cal1,lwd=2,lty=1, errbar.col=c(rgb(0,118,192,maxColorValue=255)), xlim=c(0.25,0.6),ylim=c(0.15,0.70), xlab="Nomogram-Predicted Probability of 1-Year DFS", ylab="Actual 1-Year DFS (proportion)", col=c(rgb(192,98,83,maxColorValue=255))) ...
(在图中显示3个点)## 绘制校正曲线plot(cal1,lwd=2,lty=1,conf.int=T,# 是否显示置信区间errbar.col="blue",#直线曲线bar颜色col="red", # 曲线颜色xlim=c(0.25,0.6),ylim=c(0.15,0.70),xlab="Nomogram-Predicted Probability of 1-Year DFS",ylab="Actual 1-Year DFS (proportion)",subtitles =...
xlab="Nomogram-Predicted Probabilityof 3-Year DFS",ylab="Actual 3-Year DFS (proportion)", col=c(rgb(192,98,83,maxColorValue=255))) 注意:程序中xlim和ylim请根据自己标准曲线的实际情况进行调整,如:若3各点的值都大于0.6,则xlim可设为c(0.6, 1) ...
(95% CI: 0.678–0.752), respectively. Calibration curves for 5-year overall survival (c) and 5-year disease-free survival (d) using nomograms with clinicopathological features and preoperative serological tumor markers are presented. The x-axis shows the predicted probability of survival and the ...
The goodness of fit test showed that the EGC nomogram had significantly good fit for 1- and 2-year survival intervals (P = 0.998 and 0.879, respectively). The actual and predicted survival outcomes showed good agreement, suggesting that the survival predictions from the nomogram are well ...