saemix.plot.setoptions(saemix)
saemix.plot.setoptions()所属R语言包：saemix
Function setting the default options for the plots in SAEM
功能设置的默认选项中的曲线SAEM
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function can be used to create a list containing the default options and arguments used by the plot functions.
此功能可用于创建一个列表，其中包含默认的选项和参数绘图功能的使用。
用法----------Usage----------
saemix.plot.setoptions(saemixObject)
参数----------Arguments----------
参数：saemixObject
an object returned by the saemix function
返回的对象saemix的函数
Details
详细信息----------Details----------
A description of the options set via this list is provided in the PDF documentation.
通过这个列表中设置的选项的描述中提供的PDF文档。
ablinecolColor of the lines added to the plots (default: "DarkRed")
ablinecolColor的线路图（默认：“深红”）
ablineltyType of the lines added to the plots. Defaults to 2 (dashed line)
ablineltyType的线条添加到图表中。默认为2（虚线）
ablinelwdWidth of the lines added to the plots (default: 2)
ablinelwdWidth的线条加入到图表（默认是：2）
askA logical value. If TRUE, users will be prompted before each new plot. Defaults to FALSE
ASKA逻辑值。如果是TRUE，系统会提示用户在每次新的图。默认为false
cexA numerical value giving the amount by which plotting text and symbols should be magnified relative to the default. Defaults to 1 (no magnification)
cexA给绘制文字和符号应该被放大的量相对于默认的数值。默认为1（不放大）
cex.axisMagnification to be used for axis annotation relative to the current setting of 'cex'. Defaults to 1 (no magnification)
cex.axisMagnification用于CEX“的当前设置相对于轴标注。默认为1（不放大）
cex.mainMagnification to be used for main titles relative to the current setting of 'cex'. Defaults to 1 (no magnification)
要用于cex.mainMagnification相对于CEX到当前设定的主标题。默认为1（不放大）
cex.labMagnification to be used for x and y labels relative to the current setting of 'cex'. Defaults to 1 (no magnification)
cex.labMagnification要用于对x和y的标签相对于CEX的当前设置。默认为1（不放大）
col.fillmedFor the VPC plots: color filling the prediction interval for the median. Defaults to "pink"
col.fillmedFor VPC图：颜色填充的预测区间的中位数。默认为“粉红”
col.fillpiFor the VPC plots: color filling the prediction interval for the limits of the prediction interval. Defaults to "slategray1"
col.fillpiFor的VPC图：颜色填充的预测时间间隔为预测间隔的限制。默认为“slategray1”
col.lmedFor the VPC plots: color of the line showing the median of the simulated data. Defaults to "indianred4"
col.lmedFor的VPC图：颜色的线显示的模拟数据的中位数。默认为“indianred4”
col.lobs For the VPC plots: color of the lines showing the median, 2.5 and 97.5th percentiles (for a 95
col.lobs对于VPC图：颜色的线条显示的中位数，的2.5和97.5th百分（在95
col.lpiFor the VPC plots: color of the line showing the boundaries of the prediction intervals. Defaults to "slategray4"
col.lpiFor的VPC图：示出的预测间隔的边界线的颜色。默认为“slategray4”
col.obsFor the VPC plots: color used to plot the observations. Defaults to "steelblue4"
col.obsFor VPC图：彩色用于绘制的意见。默认为“steelblue4”
cov.nameName of the covariate to be used in the plots. Defaults to the first covariate in the model
cov.nameName协变量中要使用的图。默认为第一的协变量在模型中
cov.valueValue of the covariate to be used in the plots. Defaults to NA, indicating that the median value of the covariate (for continuous covariates) or the reference category (for categorical covariates) will be used
cov.valueValue协变量中要使用的图。默认为NA，表明协变量的中值（连续协变量）或参考类别（分类协变量）将被用来
ilistList of indices of subjects to be included in the individual plots (defaults to all subjects)
ilistList指数科目包括在所有科目的个别图（默认）
indiv.par a string, giving the type of the individual estimates ("map"= conditional mode, "eap"=conditional mean). Defaults to conditional mode
indiv.par一个字符串，给人的个人估计（“图”=条件模式，“EAP”=有条件的平均值）的类型。默认条件模式
lcolMain line color (default: black)
lcolMain线的颜色（默认：黑色）
line.smoothType of smoothing when a smoothed line is used in the plot ("m": mean value, "l": linear regression; "s": natural splines). Several options may be combined, for instance "ls" will add both a linear regression line and a line representing the fit of a natural spline. Defaults to "s"
line.smoothType平滑当一个平滑的线是用在图（“M”：平均值，“L”：线性回归;“S”：自然样条）。也可以组合几个选项，实例的“ls”，将添加一个线性回归线与线代表一个自然样条曲线拟合。默认为“S”
ltyLine type. Defaults to 1, corresponding to a straight line
ltyLine类型。缺省值是1，对应于直线
lty.lmedFor the VPC plots: type of the line showing the median of the simulated data. Defaults to 2 (dashed)
lty.lmedFor VPC图：型线显示的模拟数据的中位数。默认为2（虚线）
lty.obsFor the VPC plots: type of the line showing the observed data. Defaults to 1
lty.obsFor VPC图：行显示观测到的数据的类型。默认为1
lty.lpiFor the VPC plots: type of the line showing the boundaries of the simulated data. Defaults to 2 (dashed)
lty.lpiFor的VPC图：示出的模拟数据的边界线的类型。默认为2（虚线）
lwdLine width (default: 1)
lwdLine宽度（默认是：1）
lwd.lmedFor the VPC plots: thickness of the line showing the median of the simulated data. Defaults to 2
lwd.lmedFor VPC图显示的模拟数据的中位数线的厚度。默认为2
lwd.obsFor the VPC plots: thickness of the line showing the median and boundaries of the observed data. Defaults to 2
lwd.obsFor VPC图的观测数据的中位数和边界线的厚度。默认为2
lwd.lpiFor the VPC plots: thickness of the line showing the boundaries of the simulated data. Defaults to 1
lwd.lpiFor的VPC图：厚度的线示出的模拟数据的边界。默认为1
par.nameName of the parameter to be used in the plots. Defaults to the first parameter in the model
par.nameName的图中要使用的参数。默认为模型中的第一个参数
pchSymbol type. Defaults to 20, corresponding to small dots
pchSymbol类型。默认为20，对应的小点
pcolMain symbol color (default: black)
pcolMain符号的颜色（默认：黑色）
rangeRange (expressed in number of SD) over which to plot the marginal distribution. Defaults to 4, so that the random effects for the marginal distribution is taken over the range [-4 SD; 4 SD]
rangeRange（SD数表达）在其上绘制的边缘分布。缺省值为4，所以，为边缘分布的随机效应被接管的范围内[-4 SD 4 SD]
res.plotType of residual plot ("res.vs.x": scatterplot versus X, "res.vs.pred": scatterplot versus predictions, "hist": histogram, "qqplot": QQ-plot) (default: "res.vs.x")
残差图res.plotType的（“res.vs.x”：散点图，与X中，“res.vs.pred”：散点图与预测，“历史”：直方图中，“qqplot”：QQ图）（默认：“水库vs.x“）
smoothWhen TRUE, smoothed lines are added in the plots of predictions versus observations (default: FALSE)
smoothWhen TRUE，已加入平滑线图的预测与观察（默认值：FALSE）
titTitle of the graph (default: none)
titTitle的图形（默认值：无）。
typeType of the plot (as in the R plot function. Defaults to "b", so that both lines and symbols are shown
typeType的图（如在R绘图功能。默认为“B”，从而使线条和符号显示
unitsName of the predictor used in the plots (X). Defaults to the name of the first predictor in the model (saemix.data$names$predictors[1])
unitsName的曲线（X）中使用的预测。默认的名称的第一个预测模型中的（saemix.data $名称的预测[1]）
vpc.binNumber of binning intervals when plotting the VPC (the (vpc.bin-1) breakpoints are taken as the empirical quantiles of the X data). Defaults to 10
vpc.binNumber分级绘图时，VPC（（vpc.bin-1）断点的X数据的实证位数）的时间间隔。默认为10
vpc.intervalSize of the prediction intervals.Defaults to 0.95 for the 95% prediction interval
的95％预测区间的预测intervals.Defaults至0.95 vpc.intervalSize
vpc.obsShould the observations be overlayed on the VPC plot. Defaults to TRUE
vpc.obsShould的意见被覆盖的VPC图。默认为true
vpc.piShould prediction bands be computed around the median and the bounds of the prediction intervals for the VPC. Defaults to TRUE
vpc.piShould预测频带计算的中位数和周围的VPC预测间隔的边界。默认为true
xlabLabel for the X-axis. Defaults to the name of the X predictor followed by the unit in bracket (eg "Time (hr)")
xlabLabel为X-轴。默认为随后的括号中的单元（例如，“时间（hr）”的名称的X预测）
xlimRange for the X-axis. Defaults to NA, indicating that the range is to be set by the plot function
的X轴xlimRange为。默认为NA，表示要设置的范围内的绘图功能
xlogA logical value. If TRUE, a logarithmic scale is in use. Defaults to FALSE
xlogA逻辑值。如果为TRUE时，使用的是对数标度。默认为false
xnameName of the predictor used in the plots (X)
xnameName图中使用的预测值（X）的
ylabLabel for the Y-axis. Defaults to the name of the response followed by the unit in bracket (eg "Concentration (mg/L)" (Default: none)
ylabLabel为Y轴。默认的名称后面括号内的单位（例如“浓度（毫克/升）”（默认值：无响应）
ylimRange for the Y-axis. Defaults to NA, indicating that the range is to be set by the plot function
的Y轴ylimRange为。默认为NA，表示要设置的范围内的绘图功能
ylogA logical value. If TRUE, a logarithmic scale is in use. Defaults to FALSE
ylogA逻辑值。如果为TRUE时，使用的是对数标度。默认为false
值----------Value----------
A list containing the options set at their default value. This list can be stored in an object and its elements modified to provide suitable graphs.
一个列表，其中包含的选项设置为它们的默认值。此列表可以存储在一个对象和它的修改，以提供合适的图形元素。
（作者）----------Author(s)----------
Emmanuelle Comets <emmanuelle.comets@inserm.fr>, Audrey Lavenu, Marc Lavielle.
参考文献----------References----------
Monolix32_UsersGuide.pdf (http://software.monolix.org/sdoms/software/)
参见----------See Also----------
SaemixObject,saemix, saemix.plot.data, saemix.plot.convergence, saemix.plot.llis, saemix.plot.randeff, saemix.plot.obsvspred, saemix.plot.fits, saemix.plot.parcov, saemix.plot.distpsi, saemix.plot.scatterresiduals, saemix.plot.vpc
SaemixObject，saemix，saemix.plot.data，saemix.plot.convergence，saemix.plot.llis，saemix.plot.randeff，saemix.plot.obsvspred，saemix.plot.fits，saemix.plot.parcov，saemix.plot.distpsi，saemix.plot.scatterresiduals，saemix.plot.vpc
实例----------Examples----------
# Theophylline example, after a call to fit.saemix (see examples)[的茶碱例如，调用fit.saemix后（见例子）]
# Not run[不运行]
# sopt<-saemix.plot.setoptions(saemix.fit)[SOPT <saemix.plot.setoptions（saemix.fit）]
# sopt$ask<-TRUE[SOPT要求<-TRUE]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-29 21:26:25
