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“At lag = 1, we find the correlation between monsters and their parent. They are somewhat positively correlated.” The ACF plot area now has a single slightly positive bar (indicating the slight positive correlation) at a value of 1 lag on the x-axis. Additional text reads “Note: since...
, "Skewness", "Kurtosis", "JB", "P-value JB","ARCH(12)", "Q^2(12)") rownames(sum.stats) <- names(stat.x) sum.stats[, i] <- stat.x } #sum.stats ``` # Save the statistics in an Excel file: ```{r} write.xlsx(as.data.frame(sum.stats), file = paste("Output/...
stats (Built-in) 4.3.3 stats4 (Built-in) 4.3.3 tools (Built-in) 4.3.3 utils (Built-in) 4.3.3 R packages that are supported in Power BI (non-Premium and non-Fabric backed workspaces) and Sov. Clouds The following table shows which packages are supported in the Power BI service. Ex...
datasets (Built-in) 4.3.3 graphics (Built-in) 4.3.3 grDevices (Built-in) 4.3.3 MatrixGenerics 1.14.0 methods (Built-in) 4.3.3 parallel (Built-in) 4.3.3 sparseMatrixStats 1.14.0 stats (Built-in) 4.3.3 stats4 (Built-in) 4.3.3 tools (Built-in) 4.3.3 utils (Built-in) 4.3.3R...
attitudeData_long <- attitudeDataNoNA %>% # 去除你重新编码的原始变量 select(-ats_recode) %>% gather( # key是指包含问题编号的新变量 key = question, # value指新的答复变量 value = response, #我们不想gather的变量 -ID, -Year, -StatsBefore ) attitudeData_long %>% slice(1:20) ## # ...
>ks.test(df1$Money,"punif")One-sample Kolmogorov-Smirnov testdata:df1$MoneyD=0.96667,p-value=1.221e-15alternative hypothesis:two-sided 这里不知道什么原因计算出来的P值竟然小于0.05,说明结果不符合均匀分布 搜索原因的时候找到了 https://stats.stackexchange.com/questions/137408/low-p-value-in-test-of...
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对列表或者向量使用函数 vapply(X, FUN, FUN.VALUE, ..., USE.NAMES = TRUE) tapply Apply a Function Over a Ragged Array 对不规则阵列使用函数 tapply(X, INDEX, FUN = NULL, ..., simplify = TRUE) X为原子向量,一般为向量 eapply Apply a Function Over Values in an Environment ...
optim(c(0,0),<func>)——优化问题函数,c(0,0)是优化函数参数的初始值,返回值par是参数最优点值,value是参数的最优点时平方误差值,counts是返回执行输入函数func的次数以及梯度gradient的次数,convergence值为0表示有把握找到最优点,非0值时对应错误,message是一些其它信息。