primært chunk-naming

episodes/hvad-vi-glemte.Rmd

@@ -30,18 +30,18 @@ numerical errors.
 
 This:
 
-```{r}
+```{r num-impres-1}
 7/13 - 3/31
 ```
 
 is different from: 
-```{r}
+```{r num-impres-2}
 print(7/13 - 3/31, digits = 16)
 ```
 Actually $\frac{7}{13} - \frac{3}{31}$ is equal to $\frac{178}{403}$. If we subtract
 one from the other, we should get 0. We do not...
 
-```{r}
+```{r num-impres-3}
 (7/13 - 3/31) - (178/403) 
 ```
 
@@ -53,7 +53,7 @@ we can expect to be correct is 15-16 significant digits after the decimal separa
 This means that we have to expect errors, and that they might accumulate.
 
 
-```{r}
+```{r integrate}
 integrand <- function(x) {1/((x+1)*sqrt(x))}
 integrate(integrand, lower = 0, upper = Inf)
 
@@ -122,7 +122,7 @@ sammenhænge.
 
 Funktioner hvis output er en funktion.
 
-```{r}
+```{r func-making-func}
 mycumfun <- ecdf(rnorm(10))
 mycumfun(0)
 ```

episodes/reading-files.Rmd

@@ -129,7 +129,7 @@ The package `haven` supports reading SPSS (Stata and SAS) files
 
 Use the package to read in spss files:
 
-```{r eval = F}
+```{r spss-files, eval = F}
 library(haven)
 read_spss("filename")
 ```
@@ -149,7 +149,7 @@ economics.
 As mentioned above, the `haven` package provides functions for reading
 Stata files:
 
-```{r eval = F}
+```{r stata-files, eval = F}
 library(haven)
 read_stata("filename")
 ```
@@ -168,7 +168,7 @@ Institute.
 
 The package `haven` can read SAS-files:
 
-```{r eval = F}
+```{r sas-files, eval = F}
 library(haven)
 read_sas("filename")
 ```
@@ -205,7 +205,7 @@ row (etc), are called nested, and are typically stored or distributed in the
 JSON-format.
 
 JSON can be read using `fromJSON()` from the `jsonlite` library.
-```{r eval= FALSE}
+```{r json-files, eval= FALSE}
 library(jsonlite)
 fromJSON("filename")
 ```

index.md

@@ -8,7 +8,7 @@ This site is a collection of individual episodes. It is not intended
 as a single course. The concept is for this site to act as the  foundation for made-to-measure courses.
 Based on the individual and specific needs in a given situation, we will make a 
 selection of relevant episodes, and string them together to form a tailored 
-course,.
+course.
 
 The episodes are under construction, and will continue to be, as we will
 add new content until we have covered any subject that might arise working with