zefeng questions

本文介绍Java中HashMap的遍历方法,并通过示例代码展示具体实现过程。此外,还探讨了JavaScript中使用getElementsByName方法获取元素的情况,澄清其仅能获取name属性而非ID属性相同的元素。

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1 map的遍历:

        HashMap h = new HashMap();
        h.put("1", "1aaaa");
        h.put("2", "2222");

        Iterator it = h.keySet().iterator();
        while (it.hasNext()) {
            Object obj = it.next();
            System.out.println(obj + ": " + h.get(obj));
        }

 

2 js中用getElementsByName('xxx')能否取得id为'xxx'的元素?如果id为'xxx'的元素有多个,是否可以用此方法全部取得?不能,起码在标准的定义中是这样的,没有具体试过。只能取得name属性为'xxx'的元素。

 

 

. metan lnhr selnhr, label(namevar=study) random eform format(pvalue %9.6f) Studies included: 16 Participants included: Unknown Meta-analysis pooling of aggregate data using the random-effects inverse-variance model with DerSimonian-Laird estimate of tau² ------------------------------------------------------------------------------ study | exp(b) [95% Conf. Interval] % Weight -------------------------------+---------------------------------------------- Maryam Tohidi men 2023 | 1.050 1.016 1.085 9.98 Maryam Tohidi women 2023 | 1.080 1.045 1.116 9.98 Bei Song 2023 | 1.118 1.001 1.249 9.11 Huijuan Wang 2023 | 1.190 1.090 1.300 9.44 Behnam Tajik 2022 | 1.850 1.040 3.290 2.61 Xiaoxia Li 2022 | 2.590 1.131 5.933 1.45 Zefeng Cai 2021 | 1.370 1.251 1.501 9.40 Deqiang Zheng 2020 | 2.530 1.510 4.239 3.05 Tae-Kyeong Lim 2020 | 2.540 2.138 3.017 8.02 Ye-Li Wang 2017 | 1.720 1.367 2.165 6.92 Rachel H. Mackey 2015 | 1.820 1.383 2.395 6.10 Ki-Chul Sung men normal 2016 | 2.080 1.388 3.116 4.18 Ki-Chul Sung women normal 2016 | 2.580 1.695 3.928 3.99 Ki-Chul Sung men pre 2016 | 1.770 1.117 2.804 3.57 Ki-Chul Sung women pre 2016 | 2.910 1.632 5.188 2.59 Cheng CHENG 2019 | 1.250 1.159 1.348 9.60 -------------------------------+---------------------------------------------- Overall, DL | 1.512 1.358 1.685 100.00 ------------------------------------------------------------------------------ Test of overall effect = 1: z = 7.504 p = 0.000 Heterogeneity measures, calculated from the data with Conf. Intervals based on Gamma (random-effects) distribution for Q ------------------------------------------------------------------- Measure | Value df p-value -------------------------------+----------------------------------- Cochran's Q | 214.43 15 0.000 | -[95% Conf. Interval]- H | 3.781 1.111 6.553 I² (%) | 93.0% 19.0% 97.7% ------------------------------------------------------------------- H = relative excess in Cochran's Q over its degrees-of-freedom I² = proportion of total variation in effect estimate due to between-study hete > rogeneity (based on Q) Heterogeneity variance estimates --------------------------------------------- Method | tau² -------------------------------+------------- DL | 0.0302 --------------------------------------------- option format() not allowed Error in forestplot r(198);
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08-04
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