其它与函数有关的还有:delay,delete.response,deparse,do.call,dput,environment ,,formals,format.info,interactive, is.finite,is.function,is.language,is.recursive ,match.arg,match.call,match.fun,model.extract,name,parse,s
R-森林图(Forest Plot)绘制方法 使用R绘制森林图(Forest Plot)的方法比较多,这里重点介绍R-forestplot包和R-ggforestplot包绘制。 「注意」:安装R-ggforestplot包之前,确保broom包已安装,否则可能会安装出错。 R-forestplot包绘制 这一部分我们直接使用提供的数据进行绘制,重点在于展示forestplot包中一些绘图参数的设置。
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如下所示,可以发现报错点的...,手动走一下fitmodelhelper,如下所示,我们直接让smartEsApply返回fitmodelhelper函数拟合的model,并保存到modelfitsls2,可以发现确实有些基因的model...,可以看到responseMatrix函数的定义在expr_models.R里面 grep responseMatrix monocle/R/* # R/clustering.R:#' expression_curve_...
layoutSplit = FALSE, measurementLayout = "tree", subScale, subScale2, subRes = 4, subLinks, modelOpts = list(mplusStd = "std"), curveAdjacent = '<->', edge.label.cex = 0.6, cardinal = "none", equalizeManifests = FALSE, covAtResiduals = TRUE, bifactor, optimPoints = 1:8 * (...
forest <- read_excel("forest_model2.xlsx",sheet ="subgroup") #subgps缩进 subgps <- c(3,4,7,8,11,12,15,16,19,20,23,24,25,26) forest$Variable[subgps] <- paste(" ",forest$Variable[subgps]) attach(forest) labeltext <- as...
Off-Canvas Navigation Menu ToggleContents Input Arguments collapse all Model order reduction specification object created usingreducespec, specified as aModalTruncationorSparseModalTruncationobject. Plot type, specified as one of the following. "mode"— Mode locations ...
modelplotr: Plots to evaluate the business value of predictive models The modelplotr package makes it easy to create a number of valuable evaluation plots to assess the business value of a predictive model. Using these plots, it can be shown how implementation of the model will impact business...
Confidence level for the prediction intervals of a surface fit whenStyleis"PredFunc"or"PredObs", specified as a scalar value in the range (0,1). Example:Level=0.99 Data Types:single|double x-axis limit for a surface plot, specified as a numeric vector with two elements. If you providex...
# 首先定义回归函数 model <- function(x) { lm(Petal.Length~Petal.Width,data=x) } # 如果用普通的函数则需要如下的分割、计算、整合三个步骤共四条命令 # Split函数的作用是将数据框按照指定字段分组,但不做后续计算。lapply函数可以对每组数据都执行同样的算法。Split和lapply两者结合可以实现本案例。 pieces...