如何解决如何以10为间隔计算表格中每年的标准偏差？
我有一张桌子。行代表年份（2016、2017、2018、2019、2020），colomns 代表儒略日（1 到 365 天）。我们有 1 到 365 天的值，但是，我已经超出了写作的字数限制，我提取了 350 列。 我想计算每年的标准偏差，但以 10 为步长（以 juliandays 为单位的 10 天间隔）
我该如何使用循环来计算？
有人可以帮我吗？
我的桌子在这里：
dput(fAPAR_smoothed[1:5,1:250])
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= c(5L,250L))
解决方法
这将计算每年每 10 天的标准偏差。
t(apply(fAPAR_smoothed,1,function(x) tapply(x,ceiling(seq_along(x)/10),sd)))
从@Ronak's 获取提示并假设您的数据名称是 fAPAR
sapply(split.default(as.data.frame(fAPAR),ceiling(seq_along(as.data.frame(fAPAR))/10)),function(x) matrixStats::rowSds(as.matrix(x,c(nrow(as.data.frame(fAPAR)),10))))
会给你同样的结果。
我最喜欢的 tidyverse 语法风格
map_dfc(seq_len(ncol(fAPAR)/10),~fAPAR %>% as.data.frame() %>%
select(!!(.x * seq_len(10))) %>% rowwise %>%
summarise(!!paste0('X',.x) := sd(c_across(everything())),.groups = 'drop'))
# A tibble: 5 x 25
X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 0.0279 0.0471 0.0578 0.0606 0.0570 0.0504 0.0460 0.0436 0.0400 0.0443 0.0728 0.115 0.154 0.183 0.200 0.210 0.215
2 0.0100 0.0126 0.0104 0.0136 0.0262 0.0394 0.0465 0.0454 0.0467 0.0701 0.108 0.144 0.171 0.187 0.197 0.204 0.209
3 0.00713 0.0118 0.0139 0.0136 0.0118 0.0113 0.0121 0.0114 0.0177 0.0445 0.0861 0.130 0.166 0.192 0.212 0.227 0.237
4 0.00130 0.00440 0.00964 0.0173 0.0247 0.0285 0.0282 0.0263 0.0276 0.0433 0.0770 0.119 0.156 0.182 0.198 0.207 0.214
5 0.0153 0.0199 0.0172 0.0141 0.0136 0.0129 0.0118 0.0125 0.0119 0.0324 0.0796 0.132 0.175 0.203 0.219 0.227 0.231
# ... with 8 more variables: X18 <dbl>,X19 <dbl>,X20 <dbl>,X21 <dbl>,X22 <dbl>,X23 <dbl>,X24 <dbl>,X25 <dbl>
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