我有一个如下所示的数据框:
JAVASCRIPT
google.load('visualization', '1.0', {'packages':['corechart']});
google.setOnLoadCallback(drawChart);
function drawChart() {
var jsonData = $.ajax({
url: "getData.php",
dataType: "json",
async: false
}).responseText;
var data = new google.visualization.DataTable(jsonData);
var chart = new google.visualization.PieChart(document.getElementById('chart_div'));
chart.draw(data, {width:400, height:240});
}
PHP:
$sql = "SELECT COUNT(*) FROM `ldpage` WHERE YEAR(`frm_date`) = 2015 GROUP
BY month(`frm_date`)";
if (!mysql_query($sql,$connection)){
die('Error: ' . mysql_error());
}
print json_encode($sql);
a <- as.data.frame(t(matrix(c('gr1','','','','gr2','','','','','gr3','','',
rep(1,12),rep(2,12)),ncol=3)))
看起来像:
a
列V1-V4属于gr1,V5-V9属于gr2,V10-V12属于gr3。
我想将这些组(gr1-gr3)及其相应的列分开并将它们全部放在一个列表中,以后我可以循环并进行一些分析。所以期望的输出是:
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12
gr1 gr2 gr3
1 1 1 1 1 1 1 1 1 1 1 1
2 2 2 2 2 2 2 2 2 2 2 2
,其中gr1,gr2和gr3各自是一个带有相应列的数据框。
答案 0 :(得分:2)
我们根据第一行元素是否为空(''
)来创建分组变量。然后,split
使用list
将'a'的列名称与'grp'合并为subset
,然后lapply
使用names
列{和1}行(删除第一行),将'lst'的grp <- cumsum(as.character(unlist(a[1,]))!='')
lst <- lapply(split(names(a), grp), function(nm) a[-1, nm])
nm1 <- as.character(unlist(a[1,]))
names(lst) <- nm1[nzchar(nm1)]
更改为我们提取第一行'a'的'gr'值。
factor
注意:'a'中的列是 lapply(lst, function(x) {
x[] <- lapply(x, function(.x) as.numeric(as.character(.x)))
x})
类,因为存在第二个标题('gr')作为第一行。如果我们需要将'lst'中每个data.frame中的列转换为数字,
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