[英]R apply() function issue with custom function included
I have coded following function:我已经按照 function 进行了编码:
one_way_anova <- function(m, n, sample_means, sample_vars) {
keskiarvo = 1/m*sum(sample_means)
otosv = (sum((sample_means-keskiarvo)^2))/(m-1)
TS = (n*otosv)/(sum(sample_vars)/m)
parvo = 1-pf(TS, m-1, m*(n-1))
return(parvo)
}
And using following data:并使用以下数据:
set.seed(1)
dat <- matrix(rnorm(300*20), nrow=300)
sample_means <- matrix(rowMeans(dat), nrow=100)
sample_vars <- matrix(apply(dat, 1, var), nrow=100)
m <- nrow(sample_means)
n <- ncol(sample_means)
Now I try to use apply
-function to calculate "parvo" with my function one_way_anova
for dataset sample_means
by individual rows with three samples (matrix is 100x3).现在我尝试使用
apply
-function 用我的 function one_way_anova
为数据集sample_means
计算“parvo”,每个行包含三个样本(矩阵为 100x3)。 apply(sample_means, 1, one_way_anova)
Which gives following error Error in FUN(newX[, i], ...): argument "sample_means" is missing, with no default
这会
Error in FUN(newX[, i], ...): argument "sample_means" is missing, with no default
Since your function one_way_anova
needs multiple arguments, you need to pass all other arguments besides sample_means
if you used apply
.由于您的 function
one_way_anova
需要多个 arguments,因此如果您使用apply
,则需要传递除sample_means
之外的所有其他 arguments 。
If you want to run it over rows in sample_means
and sample_vars
, maybe you can try sapply
like below如果您想在
sample_means
和sample_vars
中的行上运行它,也许您可以尝试sapply
如下所示
sapply(1:m,function(k) one_way_anova(m,n,sample_means[k,],sample_vars[k,]))
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