# sd function is giving NA

Hi community,
I'm facing problem in calculating standard deviation (at 10 intervals) using function--- sd

But I'm getting NA, please can you help me

my data looks like this--

``````structure(list(Long = c(-88.75, -86.25, -83.75, -81.25, -78.75,
-76.25, -73.75, -71.25, -68.75, -61.25, -58.75, -56.25, -53.75,
-51.25, -48.75, -46.25, -43.75, -41.25, -38.75, -36.25, -33.75,
-31.25, -28.75, -26.25, -23.75, -21.25, -18.75, -16.25, -13.75,
-111.25, -103.75, -101.25, -93.75, -91.25, -88.75, -86.25, -83.75,
-81.25, -78.75, -76.25, -68.75, -66.25, -63.75, -61.25, -58.75,
-56.25, -53.75, -51.25, -48.75, -46.25), Lat = c(81.25, 81.25,
81.25, 81.25, 81.25, 81.25, 81.25, 81.25, 81.25, 81.25, 81.25,
81.25, 81.25, 81.25, 81.25, 81.25, 81.25, 81.25, 81.25, 81.25,
81.25, 81.25, 81.25, 81.25, 81.25, 81.25, 81.25, 81.25, 81.25,
78.75, 78.75, 78.75, 78.75, 78.75, 78.75, 78.75, 78.75, 78.75,
78.75, 78.75, 78.75, 78.75, 78.75, 78.75, 78.75, 78.75, 78.75,
78.75, 78.75, 78.75), Years_CE = c(800, 800, 800, 800, 800, 800,
800, 800, 800, 800, 800, 800, 800, 800, 800, 800, 800, 800, 800,
800, 800, 800, 800, 800, 800, 800, 800, 800, 800, 800, 800, 800,
800, 800, 800, 800, 800, 800, 800, 800, 800, 800, 800, 800, 800,
800, 800, 800, 800, 800), temp = c(-23.2279395461082, -22.5959677100182,
-22.9541156888008, -23.4697868227959, -23.2690722942352, -23.2919907569885,
-23.4045884013176, -22.6203962564468, -20.8181030750275, -20.8323660492897,
-21.1287962198257, -21.1830872297287, -21.2242873311043, -21.2984372377396,
-21.6488727927208, -22.3355931639671, -22.8920010924339, -23.5176593065262,
-23.7143198847771, -23.4033827185631, -23.4045895934105, -23.4415615200996,
-23.1572825312614, -22.8334090709686, -22.2590872049332, -21.0492706894875,
-20.6457073688507, -18.4948316812515, -16.7946463823318, -18.3120978474617,
-18.4638788104057, -18.6690977811813, -21.6257686018944, -22.1914752721786,
-21.20003926754, -19.9879258871078, -20.4621767997742, -22.2486699819565,
-20.9201712012291, -17.9803402423859, -17.2420032024384, -17.6654424071312,
-18.9910494089127, -20.2454425692558, -21.4046941995621, -22.4127829670906,
-23.4854105710983, -24.369870364666, -25.1887278556824, -26.0177202224731
)), row.names = c("469", "470", "471", "472", "473", "474", "475",
"476", "477", "480", "481", "482", "483", "484", "485", "486",
"487", "488", "489", "490", "491", "492", "493", "494", "495",
"496", "497", "498", "499", "604", "607", "608", "611", "612",
"613", "614", "615", "616", "617", "618", "621", "622", "623",
"624", "625", "626", "627", "628", "629", "630"), class = "data.frame")
``````

Code is here--

``````eu_avg_100 <- eu_amo_df_sub_NA_df  %>%
group_by(Long, Lat, Years_CE) %>%
dplyr::summarize(sd_10 = sd(temp))
#> Error in eu_amo_df_sub_NA_df %>% group_by(Long, Lat, floor(Years_CE/10) * : could not find function "%>%"
``````

Created on 2022-11-15 with reprex v2.0.2

You probably need

``````library(magrittr)
``````

You've only got one observation per group, so the sd cannot be calculated.

Hi @martin.R thank you for the response. Please, can you help me how can I add 10 observations per group?

It's your data. I don't know how you would expect me to guess what data you have.

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