sw.plot(SpherWave)
sw.plot()所属R语言包：SpherWave
Plot of Observation, Network Design, Field, SW Coefficient, Decomposition or Reconstruction Result
图的观察，网络设计，现场，SW系数，分解或重建结果
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function performs plotting of observation, network design, field, SW coefficients, decomposition or reconstruction result.
这个函数执行策划，网络设计，现场，SW系数，分解或重建结果的观察。
用法----------Usage----------
sw.plot(sw = NULL, z = NULL, latlon = NULL, latlim = NULL,
lonlim = NULL, type = "field", nlevel = 256, pch = NULL,
cex = NULL, ...)
参数----------Arguments----------
参数：sw
sbf or swd object
sbf或swd对象
参数：z
observations, network design labels or reconstruction
观察，网络设计标签或重建
参数：latlon
grid points of observation sites in degree
度的观测点的网格点
参数：latlim
range of latitudes in degree
度的纬度范围
参数：lonlim
range of longitudes in degree
度的经度范围
参数：type
specifies the type "obs", "network", "field", "swcoeff", "decom" or "recon"
指定的类型“OBS”，“网络”，“场”中，“swcoeff”，“分解”或“重建”
参数：nlevel
number of color levels used in legend strip
数条传说中的色彩层次
参数：pch
either an integer specifying a symbol or a single character to be used as the default in plotting points
无论是一个整数，指定一个符号或一个单一的字符被用来作为默认的绘制点
参数：cex
a numerical value giving the amount by which plotting text and symbols should be scaled relative to the default
一个数值，绘制文字和符号应扩大相对于默认
参数：...
the usual arguments to the image function or plot function
通常的图像功能或绘图功能的参数
Details
详细信息----------Details----------
This function plots spherical wavelet results. Possible types are
此功能绘制球面小波结果。可能的类型是：
""obs"" for observations
“”OBS“意见
""network"" for network design
“”网络“”网络设计
""field"" for field
“”场“的领域
""swcoeff"" for spherical wavelet coefficients
“swcoeff”球面小波系数
""decom"" for decomposition results
“分解”分解结果
""recon"" for reconstruction result.
“重建”“重建结果。
For "sw", sbf or swd object must be provided. For sbf object, type ""obs"", ""network"", ""field"" are possible whereas all types are possible for swd object. Or specify "z" and "latlon" without "sw".
对于“SW”，sbf或swd对象必须提供。对于sbf对象，类型的“OBS”，“网络”，“场”，“是可能的，而所有的类型都可能swd对象。或指定z和latlon“没有”SW“。
实例----------Examples----------
### Observations of year 1967[＃＃1967年的观察]
data(temperature)
names(temperature)
# Temperatures on 939 weather stations of year 1967 [1967年的939个气象站的温度]
temp67 <- temperature$obs[temperature$year == 1967]
# Locations of 939 weather stations [939个气象站的位置]
latlon <- temperature$latlon[temperature$year == 1967, ]
### Draw the temperature data[＃＃绘制的温度数据]
sw.plot(z=temp67, latlon=latlon, type="obs")
### Network design by BUD[＃＃网络设计BUD]
data(netlab)
sw.plot(z=netlab, latlon=latlon, type="network")
### SBF representation of the observations[＃＃的SBF表示，观测]
#eta <- c(0.961,0.923,0.852,0.723,0.506)[下载埃塔< - C（0.961,0.923,0.852,0.723,0.506）]
#out.pls <- sbf(obs=temp67, latlon=latlon, netlab=netlab, eta=eta,[SBF（OBS = temp67，latlon latlon，NETLAB = NETLAB，η= ETA，out.pls < - ]
# method="pls", grid.size=c(50, 100), lambda=0.89)[方法=“PLS”，grid.size = C（50，100），λ= 0.89）]
# observation[意见]
#sw.plot(out.pls, type="obs")[sw.plot（out.pls，类型=“OBS”）]
# network design[网络设计]
#sw.plot(out.pls, type="network")[sw.plot（out.pls，键入“网络”）]
# field [领域]
#sw.plot(out.pls, type="field") [sw.plot（out.pls，类型=“字段”）]
### Decomposition[＃＃分解]
#out.dpls <- swd(out.pls)[out.dpls < - 社署（out.pls）]
# observation[意见]
#sw.plot(out.dpls, type="obs")[sw.plot（out.dpls，类型=“OBS”）]
# network design[网络设计]
#sw.plot(out.dpls, type="network") [sw.plot（out.dpls，键入“网络”）]
# SBF representation of the observations[SBF代表的意见]
#sw.plot(out.dpls, type="field")[sw.plot（out.dpls，类型=“字段”）]
# sw coefficient[SW系数]
#sw.plot(out.dpls, type="swcoeff")[sw.plot（out.dpls，类型=“swcoeff”）]
# decomposition result[分解结果]
#sw.plot(out.dpls, type="decom")[sw.plot（out.dpls，类型=“减压”）]
# Thresholding [阈值]
#out.univ <- swthresh(out.dpls, policy="universal", by.level=TRUE, [out.univ < - swthresh（out.dpls，政策=“通用”，by.level = TRUE，]
# type="hard", nthresh=4) [=“硬”，nthresh = 4）]
#par(oma=c(0,0,3.5,0))[面值（OMA = C（0,0,3.5,0））]
#sw.plot(out.univ, type="decom") [sw.plot（out.univ，类型=“减压”）]
#mtext("Decomposition & Threshold", side = 3, outer = TRUE, [多行文字（“分解和阈值”，侧= 3，外= TRUE，]
# cex = 1.2, line = 1)[CEX = 1.2，线= 1）]
# Reconstruction[重建]
#out.rec <- swr(out.univ)[out.rec < - SWR（out.univ）]
#sw.plot(z=out.rec, type="recon", xlab="", ylab="")[sw.plot（ž= out.rec，类型为“侦察”，xlab =“”，ylab =“）]
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。
|
发表于 2012-9-30 15:13:33
