我有一个包含6000列的矩阵,每列属于100个"组中的一个"我需要。我需要将此矩阵转换为列表100个较小的矩阵。这是我所拥有的玩具示例:
list(cbind(c(2,2,2),c(4,4,4)),cbind(c(3,3,3),c(1,1,1)))
所以"组"由每个colname的姓氏标识,这里有2组。我需要的结果如下:
lapply(do.call(cbind,sapply(something here to find the columns in each group)))
我一直在思考,我认为它应该是这样的:
public ActionResult ChangeDefaultUserLockingSetting(int PasswordAttempts, int DefaultLockingTime)
{
var defaultAccountSettings = new DefaultAccountSettingsDataContext();
var accountSettings = defaultAccountSettings.DefaultAccountSettings.First(u => u.id == 1);
//The object should be modified and not his local value
accountSettings.DefaultAccountLockoutTimeSpan = DefaultLockingTime;
accountSettings.MaxFailedAccessAttemptsBeforeLockout = PasswordAttempts;
defaultAccountSettings.SubmitChanges();
return View("Index", loadAdministrationViewModel());
}
但我还没弄清楚到底是怎么做到的。
答案 0 :(得分:0)
#Obtain the last part of each column names
groups = sapply(strsplit(x = colnames(mat), split = " "), function(x) x[2])
#Go through each unique column name and extract the corresponding columns
lapply(unique(groups), function(x) mat[,which(groups == x)])
#[[1]]
# 2018.3 1 2019.1 1
#[1,] 2 4
#[2,] 2 4
#[3,] 2 4
#[[2]]
# 2018.3 2 2019.2 2
#[1,] 3 1
#[2,] 3 1
#[3,] 3 1
OR
lapply(split(1:NCOL(mat), sapply(strsplit(x = colnames(mat), split = " "),
function(x) x[2])), function(i) mat[,i])
#$`1`
# 2018.3 1 2019.1 1
#[1,] 2 4
#[2,] 2 4
#[3,] 2 4
#$`2`
# 2018.3 2 2019.2 2
#[1,] 3 1
#[2,] 3 1
#[3,] 3 1