Smooth multiple columns of dataset with summarize-CodePudding

I am trying to smooth a data by rounding the variable "depth" and then apply the function summarize on the given dataset.

mean_safely <- possibly(.f = mean, otherwise = NA)
SdesGG <- SdesGG %>% filter(., depth > 2) %>%
  mutate(depth = round(depth, 0)) %>%
  group_by(ctd_file) %>%
  summarize(across(temperature:salinity ~ round(list(mean_safely(.)),1))) %>% ungroup()

You will find below the sample :

SdesGG <- structure(list(temperature = c(0.9308, 1.4809, 1.9412, 1.9704, 
1.9441, 1.1894, 1.974, 0.455, 1.9655, 1.9502, 1.9506, 0.5185, 
1.9474, 1.9922, 2.0393, 0.9345, 0.6809, 1.2231, 1.9733, 1.9751, 
1.229, 1.9569, 2.034, 1.9767, 1.3208, 1.0682, 1.9452, 1.9461, 
1.8048, 1.1801, 1.9616, 1.9775, 1.9877, 0.8288, 1.9759, 1.9857, 
1.9831, 0.5541, 1.9875, 1.9825, 2.0005, 0.8818, 1.3144, 1.8218, 
1.2221, 0.5575, 0.8648, 1.9827, 1.7399, 1.9895, 0.5259, 2.0424, 
1.9526, 1.9882, 1.1759, 1.9853, 1.9847, 1.0108, 0.6056, 1.998, 
0.4447, 1.9707, 1.2876, 1.975, 1.9366, 1.9689, 0.5475, 1.938, 
1.9368, 1.9366, 1.9704, 1.1177, 1.9505, 1.3533, 1.813, 1.8302, 
1.9477, 1.9355, 1.9688, 1.9349, 1.9364, 1.9729, 1.9724, 2.0328, 
1.9761, 1.9465, 1.9744, 1.9367, 0.4231, 1.9361, 1.1732, 1.1402, 
0.9043, 0.7205, 0.3785, 0.3929, 0.4127, 0.4346, 0.3992, 1.1883, 
1.4211, 0.4132, 0.3572, 0.4144, 1.6264, 0.4566, 0.466, 0.209, 
1.3406, 1.9491, 1.0865, 0.9498, 1.9572, 0.836, 1.3802, 1.7071, 
0.3476, 1.9985, 1.9547, 1.2505, 0.9536, 1.0958, 0.0347, 0.7404, 
1.5834, 2.7523, 1.6212, 0.3825, 0.9406, 0.4867, 0.5643, 1.8807, 
0.8969, 1.6772, 1.8589, 0.6775, 0.6807, 0.051, 0.8666, 4.1077, 
0.9921, 1.5596, 1.6411, 4.5329, 1.3255, 1.1467, 1.1542, 1.5876, 
1.1037, 0.2636, 1.1306, 1.7967, 1.7743, 2.0192, 0.2678, 1.9754, 
1.8641, 0.3485, 0.3189, 0.8568, 1.7012, 1.3957, 2.0179, 0.6845, 
1.0104, 1.9718, 2.022, 1.9756, 1.9604, 1.958, 0.242, 1.6566, 
1.9771, 1.4425, 1.1437, 0.5678, 1.9822, 1.7978, 1.964, 0.313, 
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0.6445, 1.9409, 1.9489, 1.9453, 0.9755, 1.9599, 0.8472, 0.0834, 
1.6046, 1.9318, 1.9498, 1.9317), fluorescence = c(1.2416, 0.059356, 
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0.040217, 0.055254, 0.047947, 0.056354, 0.30906, 0.064546, 0.042934, 
0.043631, NA), par = c(1.6974, 5.5346e-05, 0.00013858, 7.3361e-05, 
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4.6206e-05, 3.4668e-06, 2.5886e-05), turbidity = c(0.675, 0.663, 
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CodePudding user response：

round is expecting a vector. According to ?round

x - a numeric vector. Or, for round and signif, a complex vector.

By wrapping with list, it is causing the issue.

library(purrr)
library(dplyr)
SdesGG %>% 
  filter( depth > 2) %>%
  mutate(depth = round(depth, 0)) %>%
  group_by(ctd_file) %>%
  summarize(across(temperature:salinity , 
  ~ round(mean_safely(.x, na.rm = TRUE), 1)), .groups= 'drop')

-output

# A tibble: 7 × 8
  ctd_file temperature fluorescence   par turbidity conductivity oxygen salinity
  <chr>          <dbl>        <dbl> <dbl>     <dbl>        <dbl>  <dbl>    <dbl>
1 BA16001          1.6          0.1   0.1       0.5         30     64.3     34.3
2 BA16002          1.6          0.1   0         1           30     63.5     34.2
3 BA16003          1.7          0     0         0.5         30.3   61.6     34.4
4 BA16004          1            0.2   0.8       0.6         29.1   66.7     33.9
5 BA16005          1.3          0.2   8         0.4         29.2   75.7     33.7
6 BA16006          1.4          0.1   4.2       0.5         29.7   67.5     34.1
7 BA16007          1.5          0.1   0.1       0.5         29.9   64.1     34.2