loops

来源： https://stackoverflow.com/questions/61607771/highlight-listbox-items-based-on-value-from-class

来源： https://stackoverflow.com/questions/44156891/using-items-in-list-to-create-file-name-for-loop

来源： https://stackoverflow.com/questions/44156891/using-items-in-list-to-create-file-name-for-loop

问题 If I want to iterate over all arguments it is as easy as for i in "$@"; do ... . However, let's say I want to start with the second argument and also make use of the arguments' positions for some basic calculation. As an example I want to shorten these commands into one loop: grep -v 'foobar' "$2" | grep -f $file > output1.txt grep -v 'foobar' "$3" | grep -f $file > output2.txt grep -v 'foobar' "$4" | grep -f $file > output3.txt grep -v 'foobar' "$5" | grep -f $file > output4.txt I tried many

问题 If I want to iterate over all arguments it is as easy as for i in "$@"; do ... . However, let's say I want to start with the second argument and also make use of the arguments' positions for some basic calculation. As an example I want to shorten these commands into one loop: grep -v 'foobar' "$2" | grep -f $file > output1.txt grep -v 'foobar' "$3" | grep -f $file > output2.txt grep -v 'foobar' "$4" | grep -f $file > output3.txt grep -v 'foobar' "$5" | grep -f $file > output4.txt I tried many

问题 I'm using a particular program that would require me to examine pairs of variables in a text file by specifying the pairs using indices. For example: gcta --reml-bivar 1 2 --grm test --pheno test.phen --out test Where 1 and 2 would correspond to values from the first two columns in a text file. If I had 50 columns and wanted to examine each pair without repetition (1&2, 2&3, 1&3 ... 50), what would be the best way to automate this by looping through this? So essentially the script would be

问题 I would like to iterate over a dictionary, and append each key (letter) repeated by the number of times of its value (frequency) to a new list. For example: input: {'A':1, 'B':2} . Expected output: ['A', 'B', 'B'] What I'm doing is not working. What do I write in my function to do this? def get_freq_dict(): freq_dict = {'J' : 1, 'K' : 1, 'Q' : 1, 'X' : 1, 'Z' : 1,\ 'B' : 2, 'C' : 2, 'F' : 2, 'H' : 2, 'M' : 2, 'P' : 2,\ 'V' : 2, 'W' : 2, 'Y' : 2, '' : 2,\ 'G' : 3, 'D' : 4, 'L' : 4, 'S' : 4, 'U

问题 I would like to iterate over a dictionary, and append each key (letter) repeated by the number of times of its value (frequency) to a new list. For example: input: {'A':1, 'B':2} . Expected output: ['A', 'B', 'B'] What I'm doing is not working. What do I write in my function to do this? def get_freq_dict(): freq_dict = {'J' : 1, 'K' : 1, 'Q' : 1, 'X' : 1, 'Z' : 1,\ 'B' : 2, 'C' : 2, 'F' : 2, 'H' : 2, 'M' : 2, 'P' : 2,\ 'V' : 2, 'W' : 2, 'Y' : 2, '' : 2,\ 'G' : 3, 'D' : 4, 'L' : 4, 'S' : 4, 'U

问题 I have: x = rnorm(100) # Partie b z = rbinom(100,1,0.60) # Partie c y = 1.4 + 0.7*x - 0.5*z # Partie d x1 = abs(x) y1 = abs(y) Don<-cbind(y1,x1,z) Don1 <- data.frame(Don) Reg <- glm(y1~x1+z,family=poisson(link="log"),Don1) # Partie e #Biais de beta Reg.cf <- coef(Reg) biais0 = Reg.cf[1] - 1.4 biais1 = Reg.cf[2] - 0.7 biais2 = Reg.cf[3] + 0.5 And I need to repeat all this 100 times in order to have different coefficient and calculate the bias and then put the mean of each biais in a text file.

问题 I have: x = rnorm(100) # Partie b z = rbinom(100,1,0.60) # Partie c y = 1.4 + 0.7*x - 0.5*z # Partie d x1 = abs(x) y1 = abs(y) Don<-cbind(y1,x1,z) Don1 <- data.frame(Don) Reg <- glm(y1~x1+z,family=poisson(link="log"),Don1) # Partie e #Biais de beta Reg.cf <- coef(Reg) biais0 = Reg.cf[1] - 1.4 biais1 = Reg.cf[2] - 0.7 biais2 = Reg.cf[3] + 0.5 And I need to repeat all this 100 times in order to have different coefficient and calculate the bias and then put the mean of each biais in a text file.