我正在尝试使用 TraMineR
中的 group=
选项重现 seqrep
所做的图表,因为我想要一个图像文件,其中包含每个组的代表性序列,以便在演示文稿中使用 . 似乎我在语法中缺少一个重要的部分,因为序列对象的子集产生了与 TraMineR
中的板载 group
选项非常不同的结果 . 正如您在下面的图片中看到的那样,由 seqrep
识别的代表性序列强烈不同 . 你知道我的语法中哪些部分缺失或错误了吗?
library(TraMineR)
library(WeightedCluster)
data(mvad)
mvad.alphabet <- c("employment", "FE", "HE", "joblessness", "school",
"training")
mvad.labels <- c("Employment", "Further Education", "Higher Education",
"Joblessness", "School", "Training")
mvad.scodes <- c("EM", "FE", "HE", "JL", "SC", "TR")
## Define sequence objects
mvad.seq <- seqdef(mvad[, 17:86], alphabet = mvad.alphabet,
states = mvad.scodes, labels = mvad.labels,
weights = mvad$weight, xtstep = 6)
## Defining cost matrices for OM - custom and transition based
subm.trate <- seqsubm(mvad.seq, method="TRATE")
## Computing dissimilarity matrices
mvad.ham <- seqdist(mvad.seq, method="HAM", sm=subm.trate)
## Clustering OM dissimilarities
wardCluster <- hclust(as.dist(mvad.ham), method = "ward",
members = mvad$weight)
clust4 <- cutree(wardCluster, k = 4)
## Plotting representative sequences
seqrplot(mvad.seq, criterion="dist", group=clust4, dist.matrix=mvad.ham,
withlegend=FALSE, border=NA, weighted=TRUE, stats=FALSE)
seqrplot(mvad.seq[clust4==2,], criterion="dist", dist.matrix=mvad.ham,
withlegend=FALSE, border=NA, weighted=TRUE, stats=FALSE)
Four groups of representative sequences: see second group
Second group of representative sequences
1 回答
在对状态序列对象进行子集化时,应相应地对不相似矩阵进行子集化
如果这样做,
seqrep
将使用错误的距离来确定代表性序列 .