So i am trying to group together days in a data set so I can under take a anova however its not working, it keeps coming up with these errors

gather(key = "day", value = "Fm", day, day_1, day_2, day_3, day_4, day_5, day_6, day_7)

Error in gather(key = "day", value = "Fm", day, day_1, day_2, day_3, day_4, :

object 'day' not found

however I have changed the name four times - they are the same as my table I don't know what to do

Have you specified the data frame in `gather()`

? It doesn't seem so from your code. Here is a working example on the `iris`

data set.

```
library(dplyr, warn.conflicts = FALSE)
library(tidyr)
iris <- as_tibble(iris) # for nicer printing
gather(iris,
key = "flower_att",
value = "measurement",
Sepal.Length, Sepal.Width, Petal.Length, Petal.Width)
#> # A tibble: 600 x 3
#> Species flower_att measurement
#> <fct> <chr> <dbl>
#> 1 setosa Sepal.Length 5.1
#> 2 setosa Sepal.Length 4.9
#> 3 setosa Sepal.Length 4.7
#> 4 setosa Sepal.Length 4.6
#> 5 setosa Sepal.Length 5
#> 6 setosa Sepal.Length 5.4
#> 7 setosa Sepal.Length 4.6
#> 8 setosa Sepal.Length 5
#> 9 setosa Sepal.Length 4.4
#> 10 setosa Sepal.Length 4.9
#> # ... with 590 more rows
```

^{Created on 2020-07-23 by the reprex package (v0.3.0)}

Ahh yes, thank you! that has solved it

Also sorry for the add on ive run my anova and its significant and now ive ran the Tukey test but im unsure what the p.adj.significant column codes are??

I didn't follow your question. Are you asking what `p adj`

is or what the output of `Signif. codes`

means?

what the output of the significant codes mean in the end column, do the asterixs indicate a higher difference?

OK. I presume you're asking about the last **row** in the summary output. They are just visual indicators of the p-values. In the example below, the p-value for `tension`

is 0.00138. This falls within the interval 0.001 - 0.01 which is indicated by `**`

.

```
summary(aov(breaks ~ wool + tension, data = warpbreaks))
#> Df Sum Sq Mean Sq F value Pr(>F)
#> wool 1 451 450.7 3.339 0.07361 .
#> tension 2 2034 1017.1 7.537 0.00138 **
#> Residuals 50 6748 135.0
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
```

^{Created on 2020-07-24 by the reprex package (v0.3.0)}

You could also think of the upper bound of each interval as the level of significance. Using the example above, `**`

indicates that the variable `tension`

is significant at a significance level of 0.01.

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