function

问题 In the code I have gotten from my previous issue: issue I could use iterations whilst modifying the a value of multiplication. I want to use the .prod function but with iterations of multiplication, division and addition. The calculations will go as follows, for the first calculation 10 + 10 *50/100 = 15 with the equation (Starting_val + Starting_val * Random_numb/100) . The first element in Random_numb is 50 and Starting_val is updated to the value of 15. So for the second calculations it

问题 Here is the situation: I have one function which has local variable. I would like to assign that value to global variable and us it's value in another function. Here is the code: global_var = "abc"; function loadpages() { local_var = "xyz"; global_var= local_var; } function show_global_var_value() { alert(global_var); } I'm calling show_global_var_value() function in the HTML page but it shows the value = "xyz" not "abc" What am I doing wrong? 回答1: What you need to do apart from declaring

问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 7 years ago . Improve this question A prefix of a string S is any leading contiguous part of S. For example, "c" and "cod" are prefixes of the string "codility". For simplicity, we require prefixes to be non-empty. The product of prefix P of string S is the number of occurrences of P

问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 7 years ago . Improve this question A prefix of a string S is any leading contiguous part of S. For example, "c" and "cod" are prefixes of the string "codility". For simplicity, we require prefixes to be non-empty. The product of prefix P of string S is the number of occurrences of P

问题 I am using a recursive function to calculate the number of possible traversals through a graph starting from a node and ends with another given a set of rules (eg: minimum/maximum/exact number of stops). I am wondering if it is a good practice to call a wrapper function that calls the recursive function instead of calling it directly. Most of the time I see people use a wrapper function. Just wondering why and what are the pros and cons and in what situations must we wrap it? 回答1: No, it's

问题 I am working with rasters and I've a RasterStack with 7n layers. I would like to calculate pixel-wise regression, using formula beneath. I was trying to do it with raster::calc , but my function failed with message : 'Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 0 (non-NA) cases.' But all rasters are OK, and contain numbers (not only NAs), I can plot it, and I can calculate general linear regression with formula cr.sig=lm (raster::as.array(MK_trend.EVI.sig_Only) ~

问题 I am working with rasters and I've a RasterStack with 7n layers. I would like to calculate pixel-wise regression, using formula beneath. I was trying to do it with raster::calc , but my function failed with message : 'Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 0 (non-NA) cases.' But all rasters are OK, and contain numbers (not only NAs), I can plot it, and I can calculate general linear regression with formula cr.sig=lm (raster::as.array(MK_trend.EVI.sig_Only) ~

问题 I'm trying to put together a canonical example of how to get a list of all the builtin functions in Python. The documentation is good, but I want to demonstrate it with a provable approach. Here, I'm essentially defining the built-in functions as the members of the default namespace that are usable and consistent with the stylistic characteristics of a function that is intended for use in a module, that is: they provide some useful functionality and begin with a lowercase letter of the

问题 Trying to update each row from df1 to df2 if an unique value is matched. If not, append the row to df2 and assign new ID column. df1 ( NO ID COLUMN ): unique_value Status Price 0 xyz123 bad 6.67 1 eff987 bad 1.75 2 efg125 okay 5.77 df2: unique_value Status Price ID 0 xyz123 good 1.25 1000 1 xyz123 good 1.25 1000 2 xyz123 good 1.25 1000 3 xyz123 good 1.25 1000 4 xyz985 bad 1.31 1001 5 abc987 okay 4.56 1002 6 eff987 good 9.85 1003 7 asd541 excellent 8.85 1004 Desired output for updated df2:

问题 I want to use group_by in a function, the following is my code, 1, 2 work well, so I create a function - 3, while it doesn't work in 4. I don't known how to address this problem, so ask for a help. # 1 generate variables and dataframe x <- rnorm(100) y <- rep(c("A", "B"), 50) df <- data.frame(y, x) # 2 group by y df %>% group_by(y) %>% summarise(n = n(), mean = mean(x), sd = sd(x)) # 3 create function group <- function(df, var1, var2){ df %>% group_by(var1) %>% summarise(n = n(), mean = mean