How to create dataframe using results (output) of sens.slope function?

I have an Excel data with multiple sheets. I imported them into R and applied Mann-Kendall trend test with the function sens.slope(). The results of this function are in htest class, but I want to put them in a table.

I installed packages needed and imported each sheets of dataset.

require(readxl)
require(trend)
tmin1 <- read_excel("C:/TEZ/ANALİZ/future_projection/2051-2100/model 3-3/average_tmin_3_3_end.xlsx", sheet = "acipayam")
tmin2 <- read_excel("C:/TEZ/ANALİZ/future_projection/2051-2100/model 3-3/average_tmin_3_3_end.xlsx", sheet = "adana")
...
tmin57 <- read_excel("C:/TEZ/ANALİZ/future_projection/2051-2100/model 3-3/average_tmin_3_3_end.xlsx", sheet = "yumurtalik")

Then, specified the columns for trend test.

x1<-tmin1$`13`
x2<-tmin1$`14`
x3<-tmin1$`15`
x4<-tmin1$`16`
x5<-tmin1$`17`
...
x281<-tmin57$`13`
x282<-tmin57$`14`
x283<-tmin57$`15`
x284<-tmin57$`16`
x285<-tmin57$`17`

And appplied the function.

sens.slope(x1)
sens.slope(x2)
sens.slope(x3)
....
sens.slope(x285)

The result is looking like this.

> sens.slope(x1)

    Sen's slope

data:  x1
z = 4.6116, n = 49, p-value = 3.996e-06
alternative hypothesis: true z is not equal to 0
95 percent confidence interval:
 0.03241168 0.08101651
sample estimates:
Sen's slope 
 0.05689083 

> sens.slope(x2)

    Sen's slope

data:  x2
z = 6.8011, n = 49, p-value = 1.039e-11
alternative hypothesis: true z is not equal to 0
95 percent confidence interval:
 0.05632911 0.08373755
sample estimates:
Sen's slope 
 0.07032428 
...

How can I put these values in a single table and write them to an Excel file? (names of needed values are statistic and estimates in the function.)

Solution

Try using lists instead of having so many objects in global environment.

Now since you already have them, you can combine them in a list, apply sens.slope on each one, extract statistic and estimates from them an get the dataframe.

library(trend)

output <- data.frame(t(sapply(mget(paste0('x', 1:285)), function(y) 
                     {temp <- sens.slope(y);c(temp$statistic, temp$estimates)})))

You can now write this dataframe as csv using write.csv.

write.csv(output, 'output.csv', row.names = FALSE)